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19 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Comparison: adaptation zero-shot Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: aggregation Pooled over variants Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: budget Not reported Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: dataset version Not reported Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: inputs Precomputed per-variant scores Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: metric implementation Global ROC-AUC Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: population 30,497 variants Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: protocol id gfm-guides-20261014-esm1b-protocol-hgmd-esm1b-eve-shared Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Comparison: split Variants scored by both ESM1b and EVE Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
| Denominator 30497 Context-only references | Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) Results 'ESM1b outperforms other VEP methods over clinical and experimental benchmarks' paragraph 2 Version: Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Archive member: artifacts/brandes2023-pmc10484790.xml.gz |
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
Stable ID: gfm-guides-20261014-esm1b-eval-hgmd-esm1b-eve-shared-esm1b