GPT-4o, basic prompt, temperature 1.0 (default) (Lin et al. 2025); 2024-05-13 (Azure OpenAI)

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Evaluations and results

3 evaluations · 3 results. Different protocols are not a single leaderboard.

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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 CIViC evidence-level assignment Dataset: CIViC clinical evidence summary, 4,426 variant-disease associations (accessed 2024-11-20)	0.186 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.1857 to 0.1874 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source gpt-4o-basic on civic (Lin et al. 2025) egfrnsclc-20261009-protocol-lin2025-civic-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 'CIViC', column 'GPT-4o' Mean accuracy; 95% CI in the next column
Configuration: GPT-4o, basic prompt, temperature 1.0 (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)	0.732 top-1-accuracy fraction · higher Uncertainty: 95% CI 0.7307 to 0.7329 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source gpt-4o-basic 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 1 (Tab1), row 'Foundationone', column 'GPT-4o' Mean accuracy; 95% CI in the next column
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 checked Methods, coverage and source gpt-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

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Sources and history

Release 2026-10-10-7b8f80935f90 · Record review: source checked

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Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification · Original source · npj Precision Oncology 9:141, published 2025-05-15; PMC12078457 full-text XML

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Technical metadata and extraction receipts

Stable ID: egfrnsclc-20261009-config-lin2025-gpt-4o-basic

areas: dna-genomes
contexts: clinical_research
method types: foundation_model
reported name: GPT-4o
foundation model eligible: true
source locator: Lin et al. 2025 Methods P39-P43; Table 2 'Model conditions'
parameters: basic prompt; temperature 1.0 (default)
version: 2024-05-13 (Azure OpenAI)

Related records

configuration of: GPT-4o
system: gpt-4o-basic on civic (Lin et al. 2025)
system: gpt-4o-basic on foundationone (Lin et al. 2025)
system: gpt-4o-basic on oncokb (Lin et al. 2025)