{"id":"W2980206217","doi":"10.3332/ecancer.2019.967","title":"Complete metastasectomy in renal cell carcinoma: a propensity-score matched by the International Metastatic RCC Database Consortium prognostic model","year":2019,"lang":"en","type":"article","venue":"ecancermedicalscience","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Metastasectomy; Medicine; Propensity score matching; Renal cell carcinoma; Hazard ratio; Proportional hazards model; Internal medicine; Overall survival; Database; Urology; Oncology; Surgery; Cancer; Metastasis","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":[0.006139701,0.0003858257,0.0006575083,0.0009139255,0.000277654,0.0007713594,0.0005909531,0.0002928852,0.001994428],"category_scores_gemma":[0.006080219,0.000176992,0.001500584,0.0009130617,0.0002144422,0.0003778961,0.000668913,0.0003685996,0.0002082078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284849,"about_ca_system_score_gemma":0.0006229054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003258069,"about_ca_topic_score_gemma":0.001879006,"domain_scores_codex":[0.9984407,0.0008010695,0.0001008004,0.0003582923,0.000181118,0.0001180268],"domain_scores_gemma":[0.9972716,0.00104867,0.0008867171,0.0004303578,0.0001533142,0.0002092238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003403998,0.00008961629,0.9800605,0.00004134529,0.001568351,0.00008171664,0.0000307511,0.005192661,0.0003735013,0.0002431685,0.0006411637,0.008273286],"study_design_scores_gemma":[0.0007091148,0.002082218,0.8088127,0.00004269612,0.002579951,0.0007608246,0.000130031,0.1798126,0.0008351195,0.001780023,0.002409827,0.00004478818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934942,0.0003889111,0.004840063,0.0001110994,0.00001929905,0.00005841553,0.0007612655,0.00001517219,0.0003115681],"genre_scores_gemma":[0.9983478,0.00005478356,0.0006801241,0.00001519326,0.00001365259,0.00002332464,0.0007471753,0.000003504548,0.0001144956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006139701,"threshold_uncertainty_score":0.03247023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060141613274272,"score_gpt":0.2803254162679474,"score_spread":0.2201838029936754,"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."}}