{"id":"W2772490616","doi":"10.1002/ijc.31204","title":"Medication use and kidney cancer survival: A population‐based study","year":2017,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Health Sciences Centre","funders":"Canadian Urological Association; Pfizer","keywords":"Medicine; Internal medicine; Proportional hazards model; Cancer; Hazard ratio; Pharmacoepidemiology; Kidney cancer; Population; Cumulative dose; Prospective cohort study; Cohort study; Medical prescription; Oncology; Pharmacology; Environmental health; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002138152,0.00008735116,0.0001339132,0.0000667004,0.00008420402,0.0001301056,0.0003303033,0.00005016486,0.00008179931],"category_scores_gemma":[0.0003201615,0.00007563063,0.00006348894,0.00001384367,0.00003757207,0.0000344448,0.00005984522,0.00007853696,3.613692e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004695884,"about_ca_system_score_gemma":0.0002883761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128369,"about_ca_topic_score_gemma":0.001868987,"domain_scores_codex":[0.9991309,0.00003572825,0.0002483161,0.0001355989,0.0003644466,0.0000849858],"domain_scores_gemma":[0.9986925,0.00001115684,0.0004711987,0.0001844817,0.0005264567,0.0001142137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003374057,0.00009285901,0.9576362,0.000005493085,0.0004047466,7.124164e-7,0.00007539576,0.0001439226,0.01530548,0.00003981155,0.01234746,0.01361044],"study_design_scores_gemma":[0.001719726,0.0000533785,0.7280055,0.00004488659,0.00006556143,0.000003915016,0.00002279085,0.00004237272,0.0008947223,0.00002602347,0.2690404,0.00008073785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742142,0.001775405,0.00056983,0.002934742,0.02026534,0.0001049664,0.00007473497,0.000002843595,0.00005796249],"genre_scores_gemma":[0.9836097,0.001737558,0.0001300663,0.0006584995,0.01351811,0.00001639213,0.00001583919,0.00001275587,0.0003010439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566929,"threshold_uncertainty_score":0.3217472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406337197504088,"score_gpt":0.3717816359200767,"score_spread":0.3377182639450358,"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."}}