{"id":"W4411744409","doi":"10.1101/2025.06.26.659534","title":"EGFR Mutation Subtypes Modulate Distinct Metabolic Profiles and Clinical Outcomes in Lung Cancer: A Retrospective Analysis","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Lung cancer; Medicine; Oncology; Retrospective cohort study; Mutation; Internal medicine; Cancer; Lung; Bioinformatics; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006178201,0.0002012938,0.0004741747,0.0008176881,0.000408034,0.0006157723,0.0002757136,0.0002620644,0.001187507],"category_scores_gemma":[0.0007938663,0.0002227477,0.0007789157,0.001179612,0.0001918269,0.000358862,0.0004690051,0.0004270878,0.0002434024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832683,"about_ca_system_score_gemma":0.0003639467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232252,"about_ca_topic_score_gemma":0.003995676,"domain_scores_codex":[0.9994431,0.00006702971,0.00009619269,0.0002061754,0.0001104377,0.00007710115],"domain_scores_gemma":[0.9995487,0.0000657173,0.0001189348,0.00009813726,0.0001002112,0.0000683071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002051547,0.00002079487,0.9965352,0.00003583508,0.0001558248,0.0001279726,0.00003983022,0.00006630705,0.0004965894,0.00003418859,0.0001906452,0.00209169],"study_design_scores_gemma":[0.000009395716,0.0001735643,0.9957801,0.00002005892,0.0003591263,0.0008303173,0.000261595,0.0004583297,0.0003813123,0.00009471878,0.001621063,0.00001029672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941706,0.001715058,0.000542025,0.00004210731,0.00001461019,0.00004182021,0.002708106,0.000009957565,0.0007557492],"genre_scores_gemma":[0.9970754,0.0002829429,0.0001668087,0.00003126036,0.00001101419,0.00002473245,0.002194453,0.000006246714,0.000207089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002232252,"threshold_uncertainty_score":0.004438519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299323485168026,"score_gpt":0.3258782658161896,"score_spread":0.3128850309645093,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}