Method

TAPE One Hot

The TAPE one-hot baseline encodes each amino acid directly, allowing task performance to be assessed without a pretrained sequence representation.

Sources (7)

songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3

5 evaluations · 5 metric rows

How it worksTAPE One Hot workflow

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

Sources (7)

At a glance

Model type

One-hot sequence representation and separate task head

Sources (7)

Inputs

Amino-acid sequence in the tokenizer expected by the selected implementation.

Sources (7)

Outputs

Residue/sequence representations and predictions from the chosen task head.

Sources (7)

Source reviewed · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

Release 2026-09-17-d277315f7d76 · 5 evaluations · 5 metric rows. Different protocols are not a single leaderboard.

Evaluation setupMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
TAPE Fluorescence One Hot leaderboard evaluation Method: TAPE One HotTask: TAPE FluorescenceDataset: TAPE Fluorescence source dataset Train/validation at most 3 mutations; test 4–15 mutations from the GFP parent Author-reported evaluation · Evaluation metadata: discovered
0.14 Spearman's rho Unit: correlation · Direction: higher	Uncertainty: unreported Scored: Not reported · Eligible: Not reported	source checkedsonglab-cal/tape official source; tape primary benchmark evidence · README.md > Leaderboard > Fluorescence; row One Hot; column Spearman's rho Source checking is not independent reproduction.
TAPE Stability One Hot leaderboard evaluation Method: TAPE One HotTask: TAPE StabilityDataset: TAPE Stability source dataset Test 17 one-mutation neighbourhoods around candidate proteins; train on broad experimental design rounds Author-reported evaluation · Evaluation metadata: discovered
0.19 Spearman's rho Unit: correlation · Direction: higher	Uncertainty: unreported Scored: Not reported · Eligible: Not reported	source checkedsonglab-cal/tape official source; tape primary benchmark evidence · README.md > Leaderboard > Stability; row One Hot; column Spearman's rho Source checking is not independent reproduction.
TAPE One Hot: SCOP1.75 fold-level test Method: TAPE One HotTask: TAPE Remote Homology DetectionDataset: SCOP1.75 fold-level test Held-out evolutionary groups; fold-level classification into 1,195 folds Author-reported evaluation · Evaluation metadata: needs review
0.09 accuracy Unit: fraction · Direction: higher	Uncertainty: unreported Scored: Not reported · Eligible: Not reported	source checkedtape primary benchmark evidence · Table2,p.7,row9(One-hot baseline/One-hot),columnRemote homology Source checking is not independent reproduction.
TAPE One Hot: CB513 Method: TAPE One HotTask: TAPE Secondary StructureDataset: CB513 CB513 test set; train/test proteins filtered at 25% sequence identity Author-reported evaluation · Evaluation metadata: needs review
0.69 accuracy Unit: fraction · Direction: higher	Uncertainty: unreported Scored: Not reported · Eligible: Not reported	source checkedtape primary benchmark evidence · Table2,p.7,row9(One-hot baseline/One-hot),columnSecondary structure Source checking is not independent reproduction.
TAPE One Hot: ProteinNet CASP12 Method: TAPE One HotTask: TAPE Contact PredictionDataset: ProteinNet CASP12 CASP12 test, 30% sequence-identity partition; medium/long-range contacts Author-reported evaluation · Evaluation metadata: needs review
0.29 precision at L/5 Unit: fraction · Direction: higher	Uncertainty: unreported Scored: Not reported · Eligible: Not reported	source checkedtape primary benchmark evidence · Table2,p.7,row9(One-hot baseline/One-hot),columnContact prediction Source checking is not independent reproduction.

How it works

The TAPE one-hot baseline encodes each amino acid directly, allowing task performance to be assessed without a pretrained sequence representation. Direct one-hot residue representation followed by a separately fitted task head. The documented inputs are amino-acid sequence in the tokenizer expected by the selected implementation. The output consists of residue/sequence representations and predictions from the chosen task head.

Sources (7)

Versions and reproducibility

June 2019 TAPE preprint configurations and the later PyTorch package are distinct; the current README warns it is not an exact reproduction. Variable-length residue input in the implementation; padding/masking and the downstream head determine the evaluated length handling.

Sources (7)

Strengths and limitations

Strengths supported by sources

Provides a defined reference architecture that can be paired with the same downstream tasks as other protein representations.
Sources (7)
songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3

Limitations and conditions

The maintainers explicitly state that the current PyTorch repository is not an exact reproduction of the original TensorFlow paper code; training maintenance was discontinued. The encoding is parameter-free; the task-specific prediction head can still have learned parameters.
Sources (7)
songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3

Profile review details

Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied.

Stable record: discovery-model-tape-one-hot

Specifications

Inputs, training, access and other details

Explanatory profile: source reviewed · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
Property	Description and evidence
Model type	One-hot sequence representation and separate task head Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Architecture	Direct one-hot residue representation followed by a separately fitted task head. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Inputs	Amino-acid sequence in the tokenizer expected by the selected implementation. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Outputs	Residue/sequence representations and predictions from the chosen task head. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Parameters	The encoding is parameter-free; the task-specific prediction head can still have learned parameters. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Known versions	June 2019 TAPE preprint configurations and the later PyTorch package are distinct; the current README warns it is not an exact reproduction. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Training data	The repository distributes a Pfam pretraining corpus and separate supervised task data. A specific checkpoint and adaptation must identify which training was actually used. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Training cutoff	Inapplicable to the fixed one-hot encoding; supervised task-head training dates belong to each evaluation. · Not applicable Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Context limits	Variable-length residue input in the implementation; padding/masking and the downstream head determine the evaluated length handling. Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Weights licence	Inapplicable to the parameter-free residue encoding; a fitted downstream head requires its own checkpoint provenance and terms. · Not applicable Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Access	Official project documentation and implementation: https://github.com/songlab-cal/tape Sources (7) songlab-cal/tape: README.md; songlab-cal/tape: tape/models/modeling_lstm.py; songlab-cal/tape: tape/models/modeling_resnet.py; songlab-cal/tape: tape/models/modeling_unirep.py; songlab-cal/tape: tape/models/modeling_onehot.py; songlab-cal/tape: tape/models/modeling_bert.py; tape: Primary paper PDF · tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3
Code licence	BSD-3-Clause Sources songlab-cal/tape: LICENSE · LICENSE: licence text
Assumptions	Not extracted or verified for this record.

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.

134 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statement	Original source and location	Review and provenance
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: README.md Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `b28c74fe3cd6b69a8ba6d84891d0539e54dfef882abd5ed4d11ed0b029bb477a` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_unirep.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `f6a0da726a8bcdd40640fab39c0814a56d6188531b44a3ce6e7e7137755c9a02` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_onehot.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `546fab3931d2ae7b6a0ee06ff64c6bcedf2d58b460e5aa90be623b0895befe43` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_lstm.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `e857bc4d6d551915a375116208f7f74b286e7fc88d0d54f54b2746b2fb02e1ca` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	tape: Primary paper PDF Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 1906.08230v1 Retrieved: 2026-09-16T20:23:48.238777+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `6ee0c3e6e870635cba8fa67e0a4abc5598c0ab2a10ba127a46b67ac450ae0168` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_resnet.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `fc97f083f059f5b587d568aa0c32f7cca227e247160a7e22e3a168aef1469ebe` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	songlab-cal/tape: tape/models/modeling_bert.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `eba47206598a0e93e2f662d9c87343222556f236ac37373236e3970c43fb521d` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps ["Protein sequence","One-hot residue vectors","Specified task head","Task predictions"] Individual claims	songlab-cal/tape: README.md Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `b28c74fe3cd6b69a8ba6d84891d0539e54dfef882abd5ed4d11ed0b029bb477a` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps ["Protein sequence","One-hot residue vectors","Specified task head","Task predictions"] Individual claims	songlab-cal/tape: tape/models/modeling_unirep.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `f6a0da726a8bcdd40640fab39c0814a56d6188531b44a3ce6e7e7137755c9a02` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps ["Protein sequence","One-hot residue vectors","Specified task head","Task predictions"] Individual claims	songlab-cal/tape: tape/models/modeling_onehot.py Original source ↗ tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3 Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 6d345c2b2bbf52cd32cf179325c222afd92aec7e Retrieved: 2026-09-16T19:46:20.570146+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `546fab3931d2ae7b6a0ee06ff64c6bcedf2d58b460e5aa90be623b0895befe43` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact

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Sources and history

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

9 source records and release history

songlab-cal/tape official source · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: README.md · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_lstm.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_resnet.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_unirep.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_onehot.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
songlab-cal/tape: tape/models/modeling_bert.py · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e
tape: Primary paper PDF · Original source · 1906.08230v1
songlab-cal/tape: LICENSE · Original source · 6d345c2b2bbf52cd32cf179325c222afd92aec7e

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Technical metadata and extraction receipts

Stable ID: discovery-model-tape-one-hot

areas: protein-function
entity level: method
reported name: One Hot
version: Not reported
historical missing metadata: checkpoint: unreported; version: unreported
metadata review scope: historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds: model
entity classification: review date: 2026-09-17; rationale: The cited architecture/procedure describes an algorithm, representation recipe or software toolkit, rather than a single released learned biological model. Fitted models, selected reference databases and concrete runs remain separate configurations.; source ids: evidence-official-028db5eeb224def23456; evidence-official-1aae5efd1b27ae9c761a; evidence-official-3cec54ed6ded9cb0a092; evidence-official-044ad0df4e4fe48a2125; evidence-official-12d43bf3076a93fc4ee7; evidence-official-c303652f3d79132a00c2; evidence-official-362b9cef071111dfe343; source locator: tape/models/modeling_onehot.py: configuration and model classes; README.md: opening maintenance warning, Examples and Data; June 2019 TAPE preprint Sections 4.1,5 and AppendixA.3; ambiguities: None recorded

Related records

model: TAPE Fluorescence One Hot leaderboard evaluation
model: TAPE Stability One Hot leaderboard evaluation
model: TAPE One Hot: CB513
model: TAPE One Hot: SCOP1.75 fold-level test
model: TAPE One Hot: ProteinNet CASP12

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