{"id":"W3032325473","doi":"10.1200/jco.2020.38.15_suppl.3571","title":"Genomic analysis of driver-negative lung adenocarcinoma (LA) in lifetime never smokers.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Lung cancer; Exome sequencing; Oncology; ROS1; Cohort; Adenocarcinoma; Internal medicine; Cancer; Bioinformatics; Genetics; Mutation; Gene; Biology","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":[0.0002341365,0.0001326923,0.0001287934,0.0007061239,0.0002540493,0.0003337926,0.0001550356,0.0002346921,0.0009620017],"category_scores_gemma":[0.0006746569,0.000117466,0.0001111502,0.000282224,0.0001796739,0.0001246869,0.0002868396,0.0001151075,0.0002080592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595879,"about_ca_system_score_gemma":0.0001703673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022404,"about_ca_topic_score_gemma":0.00360715,"domain_scores_codex":[0.9998548,0.00001973142,0.00001404888,0.00004275923,0.00004523706,0.00002329906],"domain_scores_gemma":[0.9997233,0.00006652622,0.00008339738,0.00002567195,0.00004829396,0.0000528656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001827779,0.00001716081,0.9642822,0.00002797742,0.0000223652,0.001408276,0.0001739487,0.0000686304,0.02872075,0.00004069382,0.00007055436,0.004984711],"study_design_scores_gemma":[0.000002798549,0.0001477163,0.9864718,0.000006776949,0.00003450071,0.007081957,0.0002168761,0.0003786522,0.004955629,0.00005985753,0.0006399241,0.000003538399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993454,0.0001229509,0.0000970457,0.00001373857,9.226263e-7,0.000003094774,0.0001769206,0.00000640402,0.0002334749],"genre_scores_gemma":[0.999415,0.00006771414,0.0001648385,0.00001430948,0.00000161585,0.000001925678,0.0002412731,0.000002807559,0.0000904368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002022404,"threshold_uncertainty_score":0.004021227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07473910902682052,"score_gpt":0.4750749357415516,"score_spread":0.4003358267147311,"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."}}