{"id":"W3006937281","doi":"10.1200/jgo.19.00380","title":"Outcomes in Black and White Patients With Metastatic Renal Cell Carcinoma Treated With First-Line Tyrosine Kinase Inhibitors: Insights From Two Large Cohorts","year":2020,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Centre Hospitalier de l’Université de Montréal; University of Calgary; CancerCare Manitoba; McMaster University; McGill University Health Centre; Juravinski Cancer Centre; BC Cancer Agency; Princess Margaret Cancer Centre; Ottawa Hospital; University of Ottawa","funders":"Genentech; Eisai; Ipsen; Mirati Therapeutics; U.S. Department of Defense; Exelixis; GlaxoSmithKline; Dana-Farber/Harvard Cancer Center; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Congressionally Directed Medical Research Programs; Astellas Pharma; Gateway for Cancer Research; Pfizer; Karyopharm Therapeutics","keywords":"Renal cell carcinoma; Tyrosine kinase; Medicine; Cancer research; Oncology; Internal medicine; Carcinoma","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":[0.001278326,0.0003313007,0.0005907473,0.0006359523,0.0004680864,0.0007780753,0.0003380366,0.0004365649,0.000974598],"category_scores_gemma":[0.002785785,0.0002119545,0.0005657147,0.0006683538,0.0003551233,0.0006087402,0.0008478356,0.0005586367,0.0001554552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003168598,"about_ca_system_score_gemma":0.0003645704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003209876,"about_ca_topic_score_gemma":0.004121192,"domain_scores_codex":[0.9994019,0.0002012887,0.00003475343,0.0001718253,0.00009539178,0.00009472004],"domain_scores_gemma":[0.9983375,0.000292092,0.0008230049,0.0001358536,0.0001064114,0.0003052035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00124663,0.00009450886,0.9942718,0.00001537949,0.0002660331,0.00009486971,0.0001614749,0.00006154221,0.0006049799,0.00008378157,0.0001786427,0.002920525],"study_design_scores_gemma":[0.0001071909,0.0002539339,0.9977807,0.00001161167,0.0001445309,0.0003128813,0.0003140645,0.000370419,0.0001260559,0.0001381916,0.0004298927,0.00001055111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998924,0.0003694358,0.0001275179,0.00007522531,0.000007764264,0.000008580932,0.000264577,0.000001962327,0.0002209269],"genre_scores_gemma":[0.9987675,0.000217851,0.000125459,0.0000978974,0.00003549192,0.00001568913,0.0006298585,0.000003793828,0.000106444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003209876,"threshold_uncertainty_score":0.006760538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456501652986863,"score_gpt":0.2531003604163637,"score_spread":0.2385353438864951,"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."}}