{"id":"W4405014542","doi":"10.2139/ssrn.5034037","title":"Prognostic and Predictive Effects of Tp53 Co-Mutation in Patients with Non-Small Cell Lung Cancer with Rare Treatable Driver Mutations","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Lung cancer; Mutation; Medicine; Oncology; Internal medicine; Cancer research; Genetics; Biology; 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":[0.0003656911,0.0004110004,0.0004752917,0.0006699759,0.0003068211,0.0007270215,0.0003766632,0.0006985082,0.002572276],"category_scores_gemma":[0.002404858,0.0001839466,0.0004824322,0.0006652602,0.0003543666,0.0003966814,0.0003997455,0.0006605482,0.0004457584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173624,"about_ca_system_score_gemma":0.0002434085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006551032,"about_ca_topic_score_gemma":0.0009767718,"domain_scores_codex":[0.9997635,0.0000551627,0.0000239717,0.00006172876,0.00003547798,0.00006009433],"domain_scores_gemma":[0.998902,0.000444682,0.000239783,0.00007151326,0.00006419247,0.0002777944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001117717,0.00004296098,0.9914863,0.00001416107,0.00009547247,0.0006478781,0.00003405283,0.0002454803,0.001456304,0.00005067407,0.0002455909,0.004563466],"study_design_scores_gemma":[0.00002539033,0.0002196763,0.9952739,0.000008107967,0.0002041795,0.001881467,0.0001272508,0.00102602,0.0005451562,0.0002416462,0.0004348902,0.00001230126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980384,0.0006289168,0.0001081437,0.00013559,0.00003324521,0.000002952673,0.0003300716,0.0000114055,0.0007114864],"genre_scores_gemma":[0.9993221,0.0001097542,0.00004449995,0.00002219071,0.00004374195,0.000001973687,0.0002673207,0.000003550141,0.0001848423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002572276,"threshold_uncertainty_score":0.008605123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002046672576405349,"score_gpt":0.2153429319718459,"score_spread":0.2132962593954406,"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."}}