{"id":"W2947197208","doi":"10.1200/jco.2019.37.15_suppl.e20506","title":"Pembrolizumab (Pem) for advanced non-small cell lung cancer (aNSCLC): Efficacy and safety in everyday clinical practice.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; BC Cancer Agency","funders":"","keywords":"Medicine; Internal medicine; Lung cancer; Hazard ratio; Proportional hazards model; Cohort; Population; Adverse effect; Pembrolizumab; Cancer; Gastroenterology; Oncology; Confidence interval; Immunotherapy","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":[0.001198804,0.00008725286,0.0001790691,0.0002183699,0.0001553692,0.0004414587,0.0001554806,0.0001980372,0.001987949],"category_scores_gemma":[0.002175372,0.00005420334,0.0001913753,0.0003940991,0.0001636152,0.0003099154,0.0002159846,0.0002277914,0.0002578313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005319313,"about_ca_system_score_gemma":0.0005299505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591844,"about_ca_topic_score_gemma":0.003311357,"domain_scores_codex":[0.99965,0.0001598542,0.00003313806,0.00003295621,0.00009303305,0.00003102609],"domain_scores_gemma":[0.9991124,0.0003055561,0.0004097431,0.00002742509,0.00006644361,0.00007840207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003791109,0.0002449969,0.6103188,0.0006819081,0.0001948014,0.0003507684,0.000100284,0.0006942169,0.003258081,0.0005136667,0.004638295,0.3752131],"study_design_scores_gemma":[0.0003485824,0.002551259,0.9784077,0.0004155831,0.0001822273,0.001548746,0.000170117,0.00308083,0.001169343,0.0003681562,0.01174821,0.000009203449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657079,0.02556244,0.0007784911,0.001957975,0.00003926482,0.00009049897,0.0008740257,0.00003864343,0.004950779],"genre_scores_gemma":[0.9956905,0.002820138,0.0004181619,0.0001773041,0.0000423642,0.00001933406,0.0003282817,0.000002630226,0.0005012945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001987949,"threshold_uncertainty_score":0.006650388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864685892664957,"score_gpt":0.4779817900254512,"score_spread":0.4193349310988017,"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."}}