Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.
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1 evaluation · 4 results. Different protocols are not a single leaderboard.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: RNAstructure | Protocol: Rfam12.3–14.10 (RNA secondary structure) Dataset: Rfam12.3–14.10 | 0.643 F1 unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceFamily-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics. Aggregation: Not reported Deep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 3: Rfam12.3–14.10 F1 |
| Configuration: RNAstructure | Protocol: Rfam12.3–14.10 (RNA secondary structure) Dataset: Rfam12.3–14.10 | 0.651 INF unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceFamily-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics. Aggregation: Not reported Deep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF |
| Configuration: RNAstructure | Protocol: Rfam12.3–14.10 (RNA secondary structure) Dataset: Rfam12.3–14.10 | 0.724 Recall unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceFamily-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics. Aggregation: Not reported Deep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 5: Rfam12.3–14.10 Recall |
| Configuration: RNAstructure | Protocol: Rfam12.3–14.10 (RNA secondary structure) Dataset: Rfam12.3–14.10 | 0.593 Precision unitless · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceFamily-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics. Aggregation: Not reported Deep generalizable prediction of RNA secondary structure via base pair motif energy · Table 2 (Tab2), row 12 RNAstructure, column 4: Rfam12.3–14.10 Precision |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
Family-wise RNA secondary-structure evaluation; macro-average canonical base-pair metrics.
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20 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review 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 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.aggregation Not reported Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.budget Not reported Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.dataset_version Not reported Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.inputs Not reported Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.metric_implementation Not reported Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | missing or unspecified No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.population.count 10791 Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.population.unit RNA sequences Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.protocol_id paper-protocol-4c3af10c18f615709d Context-only references | Deep generalizable prediction of RNA secondary structure via base pair motif energy 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| 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 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 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 4 SPOT-RNA, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 5 MXfold2, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 6 ContextFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 7 CONTRAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 8 EternaFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 9 LinearFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 10 RNAfold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 11 SimFold, column 2: Rfam12.3–14.10 INF; Table 2 (Tab2), row 12 RNAstructure, column 2: Rfam12.3–14.10 INF Version: version of record | not individually reviewed No individual claim review recorded independent paper Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
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Stable ID: paper-evaluation-357ebb675e3aa7960a