OncoKB levels of evidence used as the reference labels by Lin et al. 2025.
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Release 2026-10-09-ba02f2f4a36e · Evidence verified: Not verified
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6 evaluations · 6 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: GPT-4o, basic prompt, temperature 1.0 (default) (Lin et al. 2025) | Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) | 0.339 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.3369 to 0.3417 Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourcegpt-4o-basic on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 1 (Tab1), row 'OncoKB', column 'GPT-4o' Mean accuracy; 95% CI in the next column |
| Configuration: Llama 3.1 70B, basic prompt, temperature 0.4 (Lin et al. 2025) | Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) | 0.318 top-1-accuracy fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourcellama-basic-t0-4 on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 2 (Tab2), row 10 ('Llama 3.1', 'Basic prompt + temperature (0.4)', 'OncoKB'), column 'Accuracy' |
| Configuration: Llama 3.1 70B, basic prompt, temperature 0.8 (default) (Lin et al. 2025) | Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) | 0.307 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.3041 to 0.309 Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourcellama-basic-t0-8 on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 1 (Tab1), row 'OncoKB', column 'Llama 3' Mean accuracy; 95% CI in the next column |
| Configuration: Llama 3.1 70B, basic prompt, temperature 0 (Lin et al. 2025) | Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) | 0.331 top-1-accuracy fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourcellama-basic-t0 on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 2 (Tab2), row 11 ('Llama 3.1', 'Basic prompt + temperature (0)', 'OncoKB'), column 'Accuracy' |
| Configuration: Qwen 2.5 72B, basic prompt, temperature 0.8 (default) (Lin et al. 2025) | Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) | 0.333 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.3316 to 0.334 Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceqwen-basic on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 1 (Tab1), row 'OncoKB', column 'Qwen 2.5' Mean accuracy; 95% CI in the next column |
| Configuration: Qwen 2.5 72B, refined prompt, temperature 0.8 (default) (Lin et al. 2025) | Protocol: Lin et al. 2025 OncoKB level-of-evidence assignment Dataset: OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) | 0.299 top-1-accuracy fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceqwen-refined on oncokb (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-oncokb-level-assignment Aggregation: Not reported Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Table 2 (Tab2), row 6 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'OncoKB'), column 'Accuracy' |
Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.
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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.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.access Downloaded by the authors from https://www.oncokb.org/actionable-genes (Methods P36); the table itself is not copied into this batch Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.population 625 associations: Level 1 182, Level 2 154, Level 3 114, Level 4 80, R1 34, R2 61 Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Lin et al. 2025 Methods P36 Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.total 625 Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.version OncoKB actionable genes table, last accessed 2024-11-20 Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description OncoKB levels of evidence used as the reference labels by Lin et al. 2025. Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| name OncoKB actionable-genes table, 625 variant-cancer-drug associations (accessed 2024-11-20) Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Lin et al. 2025 Methods P36 Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-10-09-ba02f2f4a36e · Record review: source checked
Stable ID: egfrnsclc-20261009-data-lin2025-oncokb-associations