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1 evaluation · 1 result. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Qwen 2.5 72B, refined prompt, temperature 0.8 (default) (Lin et al. 2025) | Protocol: Lin et al. 2025 FoundationOne variants: clinically relevant vs VUS Dataset: FoundationOne CDx report variants, 612 patients (Lin et al. 2025) | 0.725 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 foundationone (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-foundationone-relevant-vs-vus 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 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' |
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egfrnsclc-20261009-protocol-lin2025-foundationone-relevant-vs-vus
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18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation Prompting only Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.aggregation Mean over 10 iterations Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.budget Not reported Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.dataset_version egfrnsclc-20261009-data-lin2025-foundationone-variants Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.inputs Gene, alteration and tumour type as a natural-language query Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.metric_implementation Top-1 answer compared with the reference level Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.population clinically relevant vs VUS via CIViC levels Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.protocol_id egfrnsclc-20261009-protocol-lin2025-foundationone-relevant-vs-vus Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.comparison.split Whole table; no training split (prompted models) Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 |
| attributes.origin independent_paper Context-only references | Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification Table 2 (Tab2), row 2 ('Qwen2.5', 'Refined prompt + Default temperature (0.8)', 'FoundationOne'), column 'Accuracy' Version: npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 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 2026-10-10-7b8f80935f90 · Record review: source checked
Stable ID: egfrnsclc-20261009-eval-lin2025-qwen-refined-foundationone