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Evaluation

RNAstructure: PDB

Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.

Evaluation procedure

Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.

Configuration
RNAstructure
Protocol
PDB (RNA secondary structure)
Dataset
PDB RNA set
origin
Independent external evaluation
configuration
version 6.4; default parameters
protocol id
paper-protocol-b8acf180ccd3e67923
dataset version
Not reported
split
Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.
subset
Not reported
population
count: 116; unit: RNA sequences
aggregation
Not reported
inputs
Not reported
adaptation
version 6.4; default parameters
budget
Not reported
metric implementation
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-17-d277315f7d76 · 1 evaluation · 4 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
RNAstructure: PDB

Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.

Independent external evaluation · Evaluation metadata: needs review

0.736 Recall

Unit: unitless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedDeep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 9: PDB Recall

Source checking is not independent reproduction.

0.752 F1

Unit: unitless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedDeep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 7: PDB F1

Source checking is not independent reproduction.

0.775 Precision

Unit: unitless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedDeep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 8: PDB Precision

Source checking is not independent reproduction.

0.754 INF

Unit: unitless · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedDeep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Source checking is not independent reproduction.

Evidence table

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.

20 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
attributes.comparison.adaptation

version 6.4; default parameters

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.aggregation

No value recorded

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.budget

No value recorded

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.dataset_version

No value recorded

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.inputs

No value recorded

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.metric_implementation

No value recorded

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

missing or unspecified

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.population.count

116

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.population.count

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.population.unit

RNA sequences

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.population.unit

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.protocol_id

paper-protocol-b8acf180ccd3e67923

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.split

Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.

Context-only references
Deep generalizable prediction of RNA secondary structure via base pair motif energy

Original source ↗

Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF

Version: version of record
Retrieved: 2026-09-16T10:41:16.502000+00:00

not individually reviewed

No individual claim review recorded

independent paper

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: 976218bd172998a1a6e7ed1609ecb8cb2ee380fb48a8dc7b25bc05ea8b0a49af

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

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

Download this release
Technical metadata and extraction receipts

Stable ID: paper-evaluation-ef7abe5cdccd7e43ec

areas
rna-transcriptomes
tasks
RNA secondary structure
origin
independent_paper
protocol
Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.
version
version 6.4; default parameters
comparison
protocol id: paper-protocol-b8acf180ccd3e67923; dataset version: Not reported; split: Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.; subset: Not reported; population: count: 116; unit: RNA sequences; aggregation: Not reported; inputs: Not reported; adaptation: version 6.4; default parameters; budget: Not reported; metric implementation: Not reported
source locator
Family-wise evaluation of three DL methods (BPfold, SPOT-RNA, and MXfold2), three shallow learning methods (ContextFold, CONTRAfold, and EternaFold) and non-learning methods (LinearFold, RNAfold, SimFold, and RNAstructure) on Rfam12.3–14.10 ( n  = 10,791 RNAs) and PDB ( n  = 116 RNAs) datasets; Table 2 (Tab2), row 3 BPfold, column 6: PDB INF; Table 2 (Tab2), row 4 SPOT-RNA, column 6: PDB INF; Table 2 (Tab2), row 5 MXfold2, column 6: PDB INF; Table 2 (Tab2), row 6 ContextFold, column 6: PDB INF; Table 2 (Tab2), row 7 CONTRAfold, column 6: PDB INF; Table 2 (Tab2), row 8 EternaFold, column 6: PDB INF; Table 2 (Tab2), row 9 LinearFold, column 6: PDB INF; Table 2 (Tab2), row 10 RNAfold, column 6: PDB INF; Table 2 (Tab2), row 11 SimFold, column 6: PDB INF; Table 2 (Tab2), row 12 RNAstructure, column 6: PDB INF
missing metadata
checkpoint revision: unextracted; budget: unreported; split manifest: unextracted
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