{"id":"W1950005495","doi":"10.1111/bju.13326","title":"Population‐based assessment of cancer‐specific mortality after local tumour ablation or observation for kidney cancer: a competing risks analysis","year":2015,"lang":"en","type":"article","venue":"British Journal of Urology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université de Montréal","funders":"","keywords":"Medicine; Propensity score matching; Kidney cancer; Poisson regression; Cancer; Hazard ratio; Confidence interval; Internal medicine; Population; Epidemiology; Cancer registry; Surgery","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":[0.01305177,0.0004776895,0.0006223361,0.001557973,0.0002756237,0.0008410396,0.0009787747,0.0006908913,0.0009751344],"category_scores_gemma":[0.01746613,0.0002513741,0.003205913,0.001030046,0.0004834305,0.0007407851,0.0008545145,0.0008134735,0.00009414679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006112191,"about_ca_system_score_gemma":0.000556228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219886,"about_ca_topic_score_gemma":0.002044588,"domain_scores_codex":[0.9951558,0.003324822,0.0002667033,0.0006134313,0.0004439485,0.0001953298],"domain_scores_gemma":[0.9859037,0.008540165,0.003474457,0.0010984,0.0004347252,0.0005484394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009741398,0.00008301053,0.9897612,0.00003884511,0.001664952,0.00005090637,0.00007120651,0.002853296,0.0001584971,0.0001973339,0.0001149462,0.004031671],"study_design_scores_gemma":[0.0001275882,0.001230952,0.9473156,0.0000242314,0.001022611,0.0005334408,0.0002170698,0.04796179,0.000394058,0.000804627,0.0003274927,0.00004057431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953086,0.000396296,0.003593959,0.000120965,0.00001041537,0.00002390969,0.0003853226,0.00001162169,0.0001488581],"genre_scores_gemma":[0.9987156,0.00005090642,0.0007509968,0.00001993978,0.00001516477,0.00002085162,0.000380723,0.0000022395,0.00004354443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305177,"threshold_uncertainty_score":0.06902522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039056867659588,"score_gpt":0.3773985491897082,"score_spread":0.2734928624237493,"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."}}