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1 evaluation · 4 results. Different protocols are not a single leaderboard.
Protocol: Splice-altering variant classification, Extended ClinVar benchmark (58,064 variants) (Fortier et al. Table 6) · Dataset: Extended ClinVar benchmark (58,064 variants)
Sorted by Balanced accuracy (maximum delta score classification after legacy-tool pre-filtering (threshold not restated for this dataset)) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | Balanced accuracy (maximum delta score classification after legacy-tool pre-filtering (threshold not restated for this dataset)) | F1 (maximum delta score classification after legacy-tool pre-filtering (threshold not restated for this dataset)) | Recall (maximum delta score classification after legacy-tool pre-filtering (threshold not restated for this dataset)) | Specificity (maximum delta score classification after legacy-tool pre-filtering (threshold not restated for this dataset)) |
|---|---|---|---|---|
| CI-SpliceAI (Fortier et al. 2026)Evaluation | 0.895 | 0.876 | 0.8 | 0.991 |
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18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Comparison: adaptation maximum delta score classification after legacy-tool pre-filtering (threshold not restated for this dataset) Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: aggregation Whole dataset Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: budget Not reported Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: dataset version As assembled by Fortier et al. 2026 Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: inputs Variant with genomic sequence context (VCF) Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: metric implementation Sensitivity, specificity, F1 = 2TP/(2TP+FP+FN), balanced accuracy = mean of sensitivity and specificity (Equations 1 to 4) Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: population GRCh38 ClinVar Assessments variants (release 2025-10) pre-filtered in VarSeq to those where at least one legacy algorithm predicts a splice effect; positives are pathogenic with 'splice' in the interpretation text, negatives benign; 17.4% alter canonical dinucleotides Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: protocol id rna-splicing-20261011-fortier2026-protocol-extended-clinvar Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Comparison: split Whole set Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
| Origin independent_paper Context-only references | Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) Table 6 row 'CI-SpliceAI' Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML | 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 |
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
Stable ID: rna-splicing-20261011-fortier2026-eval-extended-clinvar-ci-spliceai