{"id":"W2893221436","doi":"10.1016/j.cllc.2018.09.005","title":"Efficacy of Nivolumab and Pembrolizumab in Patients With Advanced Non–Small-Cell Lung Cancer Needing Treatment Interruption Because of Adverse Events: A Retrospective Multicenter Analysis","year":2018,"lang":"en","type":"article","venue":"Clinical Lung Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Grand River Hospital; University of Victoria","funders":"AstraZeneca Canada","keywords":"Medicine; Nivolumab; Pembrolizumab; Internal medicine; Lung cancer; Adverse effect; Hazard ratio; Cohort; Common Terminology Criteria for Adverse Events; Proportional hazards model; Cancer; Oncology; Renal cell carcinoma; Immunotherapy","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":[0.001866616,0.0003475328,0.001099958,0.0004960279,0.0004001004,0.0009213656,0.0005151625,0.0006728256,0.000671673],"category_scores_gemma":[0.00353565,0.0003551089,0.001907617,0.0009197324,0.0003989531,0.0008605685,0.0004251496,0.0008931835,0.0001176899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008472396,"about_ca_system_score_gemma":0.0005357425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147153,"about_ca_topic_score_gemma":0.001711237,"domain_scores_codex":[0.9981555,0.0005844572,0.0002925195,0.0004906074,0.000252305,0.0002246586],"domain_scores_gemma":[0.996451,0.0009061223,0.001753612,0.0002171746,0.000258937,0.0004131338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01004348,0.0002068685,0.9836732,0.00007992874,0.001646755,0.0001241277,0.00007102037,0.0001614975,0.0005527905,0.0000282343,0.0001410386,0.003270879],"study_design_scores_gemma":[0.0005915166,0.001998235,0.9943901,0.00001917981,0.001271925,0.0003890883,0.0001673157,0.0003776959,0.0001975085,0.00003551938,0.0005466735,0.00001533431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997926,0.001561151,0.00003553764,0.00003423278,0.00001093778,0.00001570825,0.0002076764,0.000001558348,0.0002072186],"genre_scores_gemma":[0.9991794,0.0002160371,0.00004543303,0.00005873367,0.00002664695,0.00001968446,0.0003992568,0.000001770811,0.00005305295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001866616,"threshold_uncertainty_score":0.009871662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193061778944723,"score_gpt":0.3678977620764572,"score_spread":0.3485915841819849,"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."}}