{"id":"W2963960724","doi":"10.5489/cuaj.5941","title":"Outcomes and prognosticators of stage 4 renal cell carcinoma with pathological T4 primary lesion using a large Canadian multi-institutional database","year":2019,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University; University of British Columbia; Public Health Ontario; Dalhousie University; University of Toronto; University of Alberta; Université de Montréal; University of Ottawa; University of Manitoba","funders":"","keywords":"Medicine; Interquartile range; Renal cell carcinoma; Nephrectomy; Hazard ratio; Proportional hazards model; Clear cell; Internal medicine; Pathological; Clear cell renal cell carcinoma; Cohort; Stage (stratigraphy); Log-rank test; Cancer; Kidney cancer; Surgery; Urology; Kidney; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0008529977,0.000358565,0.0004087098,0.00168921,0.00117226,0.0008213651,0.0009140813,0.000286551,0.001403458],"category_scores_gemma":[0.002715574,0.0002030973,0.0004203459,0.003602908,0.0003768733,0.0003324493,0.0008741848,0.0003763558,0.0001847756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008775375,"about_ca_system_score_gemma":0.01245288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8706287,"about_ca_topic_score_gemma":0.9210716,"domain_scores_codex":[0.9990385,0.0000667907,0.00006851304,0.0002049661,0.0003892189,0.0002320799],"domain_scores_gemma":[0.9980512,0.0001267284,0.0007178384,0.0001235245,0.0006669209,0.0003138867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005867651,0.00001244072,0.996917,0.00002345265,0.00004932433,0.00003616124,0.00009168757,0.00009751968,0.0001063735,0.00002657566,0.0007246931,0.001856043],"study_design_scores_gemma":[0.000007455006,0.00001734125,0.9985007,0.00001627118,0.00003369896,0.00007284017,0.0001749522,0.0003507708,0.00006129026,0.00001557027,0.0007422186,0.000006820916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867336,0.0004202599,0.0001518073,0.0001315019,0.000006609012,0.00005642208,0.0113949,0.00001383272,0.001091063],"genre_scores_gemma":[0.9937761,0.0001964498,0.000226945,0.00004085642,0.000006271794,0.00003039665,0.00556611,0.000002959228,0.0001538788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1293713,"threshold_uncertainty_score":0.2602664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777243553089067,"score_gpt":0.2409141821256739,"score_spread":0.2131417465947832,"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."}}