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Clathrin independent test: selected-embedding classifiers (clathrin protein classification)

Clathrin independent test: selected-embedding classifiers · Table 3. Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

SourcesAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3: ACC, Clathrin independent test: selected-embedding classifiers

13 evaluations · 78 metric rows

At a glance

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-17. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Data, procedure and scoring
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How it works

Evaluation in this paper

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

SourcesAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3: ACC, Clathrin independent test: selected-embedding classifiers

Evaluation design

Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.

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Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies.

Clathrin independent test: selected-embedding classifiers · Table 3

ACC (fraction) · Higher values are better for this metric.

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Evaluation protocol · Clathrin independent test: selected-embedding classifiers

  1. DT · Configuration · Author-reported evaluation0.715
  2. NB · Configuration · Author-reported evaluation0.827
  3. PLS · Configuration · Author-reported evaluation0.849
  4. ADA · Configuration · Author-reported evaluation0.877
  5. LDA · Configuration · Author-reported evaluation0.866
  6. RF · Configuration · Author-reported evaluation0.894
  7. LR · Configuration · Author-reported evaluation0.877
  8. KNN · Configuration · Author-reported evaluation0.916
  9. ET · Configuration · Author-reported evaluation0.888
  10. XGB · Configuration · Author-reported evaluation0.877
  11. MLP · Configuration · Author-reported evaluation0.933
  12. SVM · Configuration · Author-reported evaluation0.927
  13. PLM-CLA · Configuration · Author-reported evaluation0.961

Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.

Advancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3: ACC, Clathrin independent test: selected-embedding classifiers
Values, uncertainty and evidence
ACC: original source values
Tested entityPrinted valueUncertaintyEvidence
DT · Configuration0.715 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row DT, column ACC; XML row2 column2
NB · Configuration0.827 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row NB, column ACC; XML row3 column2
PLS · Configuration0.849 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLS, column ACC; XML row4 column2
ADA · Configuration0.877 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row ADA, column ACC; XML row5 column2
LDA · Configuration0.866 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LDA, column ACC; XML row6 column2
RF · Configuration0.894 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row RF, column ACC; XML row7 column2
LR · Configuration0.877 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column ACC; XML row8 column2
KNN · Configuration0.916 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row KNN, column ACC; XML row9 column2
ET · Configuration0.888 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row ET, column ACC; XML row10 column2
XGB · Configuration0.877 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row XGB, column ACC; XML row11 column2
MLP · Configuration0.933 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row MLP, column ACC; XML row12 column2
SVM · Configuration0.927 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row SVM, column ACC; XML row13 column2
PLM-CLA · Configuration0.961 fractionNot reportedAuthor-reported evaluation · source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLM-CLA, column ACC; XML row14 column2
Scope and limitations
  • Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.
  • Feature-selection and evaluation leakage cannot be excluded by this table alone.
  • No interval assigned unless printed in source cell.

Source transcription and grouping reviewed by automated source review on 2026-09-17. These experiments were not independently reproduced by rewire.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 13 evaluations · 78 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
DT: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.715 ACC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row DT, column ACC; XML row2 column2

Source checking is not independent reproduction.

0.551 SP

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row DT, column SP; XML row2 column4

Source checking is not independent reproduction.

0.726 AUC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row DT, column AUC; XML row2 column7

Source checking is not independent reproduction.

RF: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.884 SP

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row RF, column SP; XML row7 column4

Source checking is not independent reproduction.

0.912 F1

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row RF, column F1; XML row7 column6

Source checking is not independent reproduction.

0.894 ACC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row RF, column ACC; XML row7 column2

Source checking is not independent reproduction.

0.959 AUC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row RF, column AUC; XML row7 column7

Source checking is not independent reproduction.

PLM-CLA: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.917 MCC

Unit: dimensionless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLM-CLA, column MCC; XML row14 column5

Source checking is not independent reproduction.

0.949 F1

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLM-CLA, column F1; XML row14 column6

Source checking is not independent reproduction.

0.961 ACC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLM-CLA, column ACC; XML row14 column2

Source checking is not independent reproduction.

PLS: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.690 MCC

Unit: dimensionless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLS, column MCC; XML row4 column5

Source checking is not independent reproduction.

0.845 SN

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row PLS, column SN; XML row4 column3

Source checking is not independent reproduction.

LR: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.747 MCC

Unit: dimensionless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column MCC; XML row8 column5

Source checking is not independent reproduction.

0.884 SP

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row LR, column SP; XML row8 column4

Source checking is not independent reproduction.

ADA: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.877 ACC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row ADA, column ACC; XML row5 column2

Source checking is not independent reproduction.

0.739 MCC

Unit: dimensionless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row ADA, column MCC; XML row5 column5

Source checking is not independent reproduction.

0.918 SN

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row ADA, column SN; XML row5 column3

Source checking is not independent reproduction.

NB: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.773 SN

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row NB, column SN; XML row3 column3

Source checking is not independent reproduction.

0.868 AUC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row NB, column AUC; XML row3 column7

Source checking is not independent reproduction.

SVM: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.942 F1

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row SVM, column F1; XML row13 column6

Source checking is not independent reproduction.

0.964 SN

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row SVM, column SN; XML row13 column3

Source checking is not independent reproduction.

MLP: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.946 F1

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row MLP, column F1; XML row12 column6

Source checking is not independent reproduction.

ET: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.764 MCC

Unit: dimensionless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row ET, column MCC; XML row10 column5

Source checking is not independent reproduction.

XGB: Clathrin independent test: selected-embedding classifiers

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Author-reported evaluation · Evaluation metadata: needs review

0.877 ACC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row XGB, column ACC; XML row11 column2

Source checking is not independent reproduction.

0.956 AUC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedAdvancing the accuracy of clathrin protein prediction through multi-source protein language models · Table 3, row XGB, column AUC; XML row11 column7

Source checking is not independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.

Paper or primary resourceVersionReference
Advancing the accuracy of clathrin protein prediction through multi-source protein language modelsjournal full text in PMCRead source
DOI: 10.1038/s41598-025-08510-4

What is still missing

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complete comparison tables extracted pending publication review

Searches

  • Advancing the accuracy of clathrin protein prediction through multi-source protein language models primary paper benchmark results

Evidence locations

  • Table 3: ACC, Clathrin independent test: selected-embedding classifiers

Strengths and limitations

Strengths and considerations

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No source-reviewed explanatory claims are recorded here yet.

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Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Stable record: paper-protocol-bbffa94da73852557b

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

3 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview and provenance
Evaluation in this paper

Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Individual claims
Advancing the accuracy of clathrin protein prediction through multi-source protein language models

Original source ↗

Table 3: ACC, Clathrin independent test: selected-embedding classifiers

Version: journal full text in PMC
Retrieved: 2026-09-17T07:56:20.050842+00:00

source checked

automated source review · 2026-09-17

Audit details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Field: attributes.profile.sections.0.body

Source artifact SHA-256: 2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Introduction

Clathrin independent test: selected-embedding classifiers · Table 3. Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.

Individual claims
Advancing the accuracy of clathrin protein prediction through multi-source protein language models

Original source ↗

Table 3: ACC, Clathrin independent test: selected-embedding classifiers

Version: journal full text in PMC
Retrieved: 2026-09-17T07:56:20.050842+00:00

source checked

automated source review · 2026-09-17

Audit details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Field: attributes.profile.summary

Source artifact SHA-256: 2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Relationship: evaluates task

reported-task-786c09824e9bf5

Individual claims
Advancing the accuracy of clathrin protein prediction through multi-source protein language models

Original source ↗

Table 3: ACC, Clathrin independent test: selected-embedding classifiers

Version: journal full text in PMC
Retrieved: 2026-09-17T07:56:20.050842+00:00

source checked

automated source review · 2026-09-17

Audit details

Field: links:evaluates_task:reported-task-786c09824e9bf5

Claim: paper-claim-52fb2ef2e7e3f35086

Source artifact SHA-256: 2edc86b25707c1b737d26117093ce8d856e79cc5d0b335f27c1c341f887f1c7e

Hash scope: Exact retrieved primary paper artifact bytes.

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Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

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Technical metadata and extraction receipts

Stable ID: paper-protocol-bbffa94da73852557b

areas
proteins-complexes
tasks
clathrin protein classification
entity level
protocol
protocol
Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.
comparison panels
id: part2-clathrin-plm-2025-Tab3-7ef65949fa; title: Clathrin independent test: selected-embedding classifiers · Table 3; protocol id: paper-protocol-bbffa94da73852557b; dataset id: paper-dataset-a1836de18515f3ab55; metric: ACC; unit: fraction; direction: higher; result ids: paper-result-0730029c96e20b98de; paper-result-a55f9924436b4f2946; paper-result-6d26a3281ddec02ba6; paper-result-199f6ba07b9c097f4f; paper-result-644ae2f042fb2f5b23; paper-result-36ae69af478636d799; paper-result-7ed01313e3f4c28c40; paper-result-7195f65c3684098379; paper-result-a969b52eed01ab25da; paper-result-4cf9ff8fa7d95ed4ce; paper-result-e677c183db2fc0a6fe; paper-result-f444ed165adbeb9c85; paper-result-48b062f1f39640cb79; source ids: part2-clathrin-plm-2025; source locator: Table 3: ACC, Clathrin independent test: selected-embedding classifiers; context: Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.; caveats: Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.; Feature-selection and evaluation leakage cannot be excluded by this table alone.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-clathrin-plm-2025-Tab3-9059dcb8eb; title: Clathrin independent test: selected-embedding classifiers · Table 3; protocol id: paper-protocol-bbffa94da73852557b; dataset id: paper-dataset-a1836de18515f3ab55; metric: SN; unit: fraction; direction: higher; result ids: paper-result-7e844e0a18dfd2a35b; paper-result-1d8775900e322544d5; paper-result-14af9ff7e7145d4d29; paper-result-2691b7b496a2b70805; paper-result-8a421ada6b63ee530d; paper-result-9824c5bbad9176ec8e; paper-result-5667de2e439b758d52; paper-result-c5b318cd60d0cdb4a7; paper-result-ac6a602d275b3fea3c; paper-result-5a7ce3c38ddae8961d; paper-result-a2a2ddd6bf8f13daef; paper-result-387a61f6d26366959d; paper-result-d62014e2f2c00f0b19; source ids: part2-clathrin-plm-2025; source locator: Table 3: SN, Clathrin independent test: selected-embedding classifiers; context: Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.; caveats: Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.; Feature-selection and evaluation leakage cannot be excluded by this table alone.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-clathrin-plm-2025-Tab3-1637766aec; title: Clathrin independent test: selected-embedding classifiers · Table 3; protocol id: paper-protocol-bbffa94da73852557b; dataset id: paper-dataset-a1836de18515f3ab55; metric: SP; unit: fraction; direction: higher; result ids: paper-result-21feace8cb2ce5e3eb; paper-result-e33d8392c76daadbc3; paper-result-97cc71a9c8b17a8bc1; paper-result-667c1dd0ce262e830c; paper-result-f1e415b2cfba651012; paper-result-0ce650036f050c2762; paper-result-21c44a4182b8225eb1; paper-result-a2d81dd3a62697406b; paper-result-7c339a10051c86a7c0; paper-result-ea67a0b7b24f3bb052; paper-result-9bdbc84d434b285e04; paper-result-87b08711535c28932a; paper-result-d04ecf04da1004cff8; source ids: part2-clathrin-plm-2025; source locator: Table 3: SP, Clathrin independent test: selected-embedding classifiers; context: Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.; caveats: Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.; Feature-selection and evaluation leakage cannot be excluded by this table alone.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-clathrin-plm-2025-Tab3-657b713876; title: Clathrin independent test: selected-embedding classifiers · Table 3; protocol id: paper-protocol-bbffa94da73852557b; dataset id: paper-dataset-a1836de18515f3ab55; metric: MCC; unit: dimensionless; direction: higher; result ids: paper-result-a4a56a5352e1f4b25f; paper-result-655c72140d737d23c3; paper-result-1482c92aa694d2f027; paper-result-250b4aaac43175427d; paper-result-ddc5d5b4d806f5d683; paper-result-92d64dfea940c8e704; paper-result-1671d2e2b268f272a5; paper-result-b30374085233a5ee59; paper-result-40e463b7ca62e3c241; paper-result-6644f2850c0d5eb339; paper-result-c9dfd2f1b60d02b3df; paper-result-930a9b4bcf61fbe236; paper-result-12c7518a23c15c58d6; source ids: part2-clathrin-plm-2025; source locator: Table 3: MCC, Clathrin independent test: selected-embedding classifiers; context: Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.; caveats: Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.; Feature-selection and evaluation leakage cannot be excluded by this table alone.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-clathrin-plm-2025-Tab3-a89d53b495; title: Clathrin independent test: selected-embedding classifiers · Table 3; protocol id: paper-protocol-bbffa94da73852557b; dataset id: paper-dataset-a1836de18515f3ab55; metric: F1; unit: fraction; direction: higher; result ids: paper-result-f92d473cd400e9e621; paper-result-96f846d80898fae95b; paper-result-9b9e600ad2446e697f; paper-result-af17b84609852bd79e; paper-result-5a6bc1834630e501e8; paper-result-2d7b6ae84bb35ea892; paper-result-a5bbea217db4b4a850; paper-result-d35402f96201b16bf8; paper-result-b30dbb80fd831aad99; paper-result-798a21dedf23053ac0; paper-result-3e7012cff605fa9f7f; paper-result-3431e8053e5b0bad25; paper-result-2b3a797967cdef7a15; source ids: part2-clathrin-plm-2025; source locator: Table 3: F1, Clathrin independent test: selected-embedding classifiers; context: Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.; caveats: Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.; Feature-selection and evaluation leakage cannot be excluded by this table alone.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-clathrin-plm-2025-Tab3-b6e9f189ae; title: Clathrin independent test: selected-embedding classifiers · Table 3; protocol id: paper-protocol-bbffa94da73852557b; dataset id: paper-dataset-a1836de18515f3ab55; metric: AUC; unit: fraction; direction: higher; result ids: paper-result-2eaf94777fc7f857fc; paper-result-47d350f89848982a43; paper-result-f1a86ea15cd7479d5b; paper-result-e274031e8e17dc0933; paper-result-ad1e11f4f3b25e62ed; paper-result-3741a0c6925f2947e2; paper-result-ca68d167787e314805; paper-result-7ef5e7bcd2b4a87ef9; paper-result-9565fcdb350e8db673; paper-result-5250d6a1217d2812cf; paper-result-e0a382c956e9add325; paper-result-9c2aeff72feeb82f45; paper-result-ab057b14f1c421f3ca; source ids: part2-clathrin-plm-2025; source locator: Table 3: AUC, Clathrin independent test: selected-embedding classifiers; context: Conventional classifiers and PLM-CLA compared using paper-selected features. CLA-IND 0.6 independent test from Shoombuatong 2024 dataset; source Table 1 carries cohort counts.; caveats: Source prose has inconsistent dataset sizes; exact cohort counts left unresolved, not inferred.; Feature-selection and evaluation leakage cannot be excluded by this table alone.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17
benchmark research
review date: 2026-09-17; status: complete_comparison_tables_extracted_pending_publication_review; primary sources: part2-clathrin-plm-2025; inspected locators: Table 3: ACC, Clathrin independent test: selected-embedding classifiers; searched queries: Advancing the accuracy of clathrin protein prediction through multi-source protein language models primary paper benchmark results; gaps: Independent batch review before import; preserve existing observation identities.; claim scope: Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.
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benchmark
entity classification
review date: 2026-09-17; rationale: The source-backed record identifies a specified evaluated procedure and its dataset/split/scoring context. Classify it as a protocol while preserving version and comparison restrictions.; source ids: part2-clathrin-plm-2025; source locator: Table 3: ACC, Clathrin independent test: selected-embedding classifiers; ambiguities: None recorded
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