{"id":"W2105660133","doi":"10.1093/annonc/mdv208","title":"Biomarker testing and time to treatment decision in patients with advanced nonsmall-cell lung cancer","year":2015,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":245,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Biomarker; Oncology; Lung cancer; Internal medicine; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006393471,0.00009101462,0.0002462258,0.0001077745,0.00001697493,0.000002603655,0.00002247076,0.00004228017,0.00003568549],"category_scores_gemma":[0.00006812653,0.00006091162,0.00001450365,0.0001766351,0.00002410978,0.00004474547,0.00001843067,0.00002505828,0.000009845245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186725,"about_ca_system_score_gemma":0.0003501284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003021957,"about_ca_topic_score_gemma":0.00008698539,"domain_scores_codex":[0.999411,0.00001857705,0.0001572684,0.0001668668,0.00009688987,0.0001493235],"domain_scores_gemma":[0.9993246,0.0001163748,0.00006744252,0.000102097,0.0002386967,0.0001508159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001431858,0.0009198873,0.5012333,0.00001355796,0.00008585349,0.00002193099,0.0005352626,0.0001177842,0.0002268408,0.000001582164,0.001133433,0.4942788],"study_design_scores_gemma":[0.01736011,0.01694502,0.9460138,0.0002526764,0.000212403,0.000005116744,0.00007963646,0.000326435,0.0006080344,0.00002742534,0.01803582,0.0001335447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883034,0.0005223457,0.00001290939,0.001026838,0.00003396409,0.0005976777,0.00001844974,0.000008765121,0.009475608],"genre_scores_gemma":[0.9926115,0.00004067128,0.006198355,0.000495425,0.00001298885,0.00009133609,0.0000138661,0.00001196284,0.0005239493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4941452,"threshold_uncertainty_score":0.2483904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05669316549900459,"score_gpt":0.4165557444915264,"score_spread":0.3598625789925218,"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."}}