{"id":"W2791194794","doi":"10.1016/j.urolonc.2018.01.018","title":"Accurate prediction of progression to muscle-invasive disease in patients with pT1G3 bladder cancer: A clinical decision-making tool","year":2018,"lang":"en","type":"article","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"European Association of Urology; World Health Organization","keywords":"Nomogram; Medicine; Bladder cancer; Lymphovascular invasion; Internal medicine; Retrospective cohort study; Oncology; Proportional hazards model; Cystectomy; Urology; Disease; Cohort; 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":[0.002368223,0.000654342,0.001039187,0.002095278,0.0004789097,0.00193328,0.0007726303,0.001204519,0.001952427],"category_scores_gemma":[0.008748783,0.0002730198,0.0007598063,0.001028585,0.0003390625,0.00117017,0.0009744331,0.001154918,0.0006583278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327972,"about_ca_system_score_gemma":0.0006368552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223735,"about_ca_topic_score_gemma":0.00252763,"domain_scores_codex":[0.9989982,0.0004140526,0.0001434384,0.0001339766,0.0001851156,0.000125339],"domain_scores_gemma":[0.9960566,0.002257709,0.000517228,0.0001394082,0.0005283186,0.0005007758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001586494,0.0002196043,0.9270902,0.00008317676,0.0001600574,0.0003988515,0.000104807,0.003219371,0.0009635343,0.0002567839,0.003152278,0.06276481],"study_design_scores_gemma":[0.000397335,0.001978506,0.8392946,0.0003528837,0.0009659893,0.0039735,0.0007829985,0.1353009,0.004208769,0.004993141,0.007615886,0.0001354501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815734,0.003156281,0.005462939,0.002447403,0.0001907948,0.0001312113,0.001402516,0.0001073285,0.005528028],"genre_scores_gemma":[0.9945654,0.000382737,0.003599541,0.0001876599,0.0001170821,0.00003023782,0.0007739029,0.0000100004,0.0003333453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002368223,"threshold_uncertainty_score":0.01252455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029848148627066,"score_gpt":0.3754081287208728,"score_spread":0.3451096472346021,"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."}}