{"id":"W6891682197","doi":"10.48083/wqfr32352","title":"Can Incomplete Metastasectomy Impact Renal Cell Carcinoma Outcomes? A Propensity Score Matching Analysis from a Prospective Multicenter Collaboration","year":2021,"lang":"en","type":"article","venue":"Société Internationale d’Urologie Journal","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Queen Elizabeth II Health Sciences Centre; University of Manitoba; Ottawa Hospital; Princess Margaret Cancer Centre; Sunnybrook Health Science Centre; Juravinski Cancer Centre; University of British Columbia; Centre Hospitalier de l’Université de Montréal; University of Calgary; McGill University","funders":"","keywords":"Metastasectomy; Propensity score matching; Renal cell carcinoma; Nephrectomy; Proportional hazards model; Confounding; Multivariate analysis; Kidney cancer; Lung","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":[0.01953132,0.0004792584,0.001044219,0.001846323,0.0008753773,0.001380605,0.001309904,0.0007438751,0.002279029],"category_scores_gemma":[0.04020572,0.0003788712,0.002549772,0.003709494,0.0005171386,0.0008722782,0.001358496,0.00058273,0.0002038283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749769,"about_ca_system_score_gemma":0.00172575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034294,"about_ca_topic_score_gemma":0.008606254,"domain_scores_codex":[0.9879803,0.00619478,0.001659132,0.001879532,0.001426895,0.0008594307],"domain_scores_gemma":[0.9627039,0.008440383,0.0191789,0.005811546,0.002303381,0.001561855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006024052,0.0000202034,0.9960297,0.00003012268,0.001008687,0.00003678518,0.00006493624,0.0002076829,0.00006053618,0.00009884188,0.0002589587,0.001581056],"study_design_scores_gemma":[0.0002189145,0.0003087973,0.9920185,0.00005881473,0.001716156,0.000298765,0.0001924676,0.003685127,0.0001450209,0.000366637,0.0009678658,0.00002295416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943374,0.001090085,0.002257706,0.0002597831,0.00002919649,0.0001181881,0.001326019,0.00001025056,0.0005713514],"genre_scores_gemma":[0.9984224,0.0001045081,0.0004282836,0.00006416587,0.00002298227,0.00005852681,0.0008314629,0.000005901332,0.00006193046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01953132,"threshold_uncertainty_score":0.1032928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405127274141532,"score_gpt":0.3248899789696658,"score_spread":0.2708387062282505,"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."}}