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#large language models Open access Sep 2026

zksdu/llm-acmg-variant-audit: v1.1.0 — manuscript submission version

Companion code and data for "Multi-vendor evaluation of large language models for ACMG/AMP variant classification with controlled data contamination" (Journal of Genetics and Genomics). 9 LLMs × 5,000 temporally-blinded ClinVar variants (45,000 evaluations), with sub-experiments on allele-frequency ablation, conflicting interpretations, MaveDB functional evidence, determinism, and prompt symmetry. Changes since v1.0.0: fourteen rounds of integrity audit — all reported numbers recomputed from raw data, figures regenerated data-driven, references verified field-by-field against Crossref/arXiv, repository now self-contained (figures reproduce byte-identically from archived data); automated verification suite included (final_gate.py, table_cell_audit.py, ref_full_audit.py).

zksdu · 0 citations