{"id":"W1996192566","doi":"10.1097/jto.0b013e3181ffe909","title":"Pharmacogenetic and Germline Prognostic Markers of Lung Cancer","year":2011,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"University of Toronto; Cancer Care Ontario","keywords":"Pharmacogenetics; Medicine; Lung cancer; Candidate gene; Oncology; Population; Bioinformatics; Internal medicine; Genotype; Genetics; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004100505,0.0002851007,0.0002901625,0.0009316644,0.0003001532,0.0005406464,0.0003791172,0.000550247,0.002948987],"category_scores_gemma":[0.003107947,0.0001637439,0.0003362093,0.0009681797,0.0003205323,0.0003719566,0.0002312898,0.0006263619,0.0002686767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256066,"about_ca_system_score_gemma":0.0002716657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009201396,"about_ca_topic_score_gemma":0.001419575,"domain_scores_codex":[0.9995744,0.0001407869,0.00004489517,0.00007202313,0.00009054425,0.00007735942],"domain_scores_gemma":[0.9983557,0.0007234132,0.0005917881,0.00009820023,0.00009635057,0.0001345332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006257245,0.00008006047,0.9756503,0.0000189081,0.0001879716,0.0009882938,0.00004038098,0.0006893122,0.006887497,0.0004988842,0.0002864725,0.01404617],"study_design_scores_gemma":[0.00003944884,0.0002009305,0.9850985,0.00001755263,0.0003165911,0.005064364,0.000105642,0.003077822,0.003459556,0.001563507,0.001044111,0.00001197874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959126,0.001034599,0.0004179351,0.0004933343,0.00002085922,0.000004568697,0.0003382787,0.00001440839,0.001763287],"genre_scores_gemma":[0.9994525,0.0001113989,0.0001362892,0.00002466228,0.00002098441,0.000001241993,0.00008588187,0.000003052479,0.0001640014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002948987,"threshold_uncertainty_score":0.009865403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054511726158285,"score_gpt":0.4697045928526449,"score_spread":0.4391594755910621,"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."}}