{"id":"W4310104772","doi":"10.1016/j.urolonc.2022.11.009","title":"Collecting duct carcinoma: Epidemiology, clinical characteristics and survival","year":2022,"lang":"en","type":"article","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Juravinski Cancer Centre; Université de Montréal","funders":"","keywords":"Medicine; Proportional hazards model; Hazard ratio; Epidemiology; Internal medicine; Cohort; Stage (stratigraphy); Nephrectomy; Surveillance, Epidemiology, and End Results; Survival analysis; Population; Oncology; Surgery; Cancer registry; Confidence interval; Kidney; Biology","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":[0.0004914845,0.0001513531,0.000340473,0.001261666,0.0003546819,0.0006255082,0.0002477461,0.0004093422,0.001861235],"category_scores_gemma":[0.001577289,0.000192312,0.0004187532,0.002386006,0.0003062924,0.0007247795,0.0003780834,0.0004962355,0.000314954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003545,"about_ca_system_score_gemma":0.0004092373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002383621,"about_ca_topic_score_gemma":0.00184499,"domain_scores_codex":[0.9996974,0.00007058618,0.00003710359,0.00007204113,0.00005477784,0.00006805897],"domain_scores_gemma":[0.9989824,0.0002077335,0.0003948373,0.00006445197,0.0001107701,0.0002398322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007352131,0.0000222653,0.9974908,0.000009205554,0.00003426818,0.00006994636,0.00002880745,0.00004942162,0.0001363453,0.00002897602,0.0001309351,0.001925638],"study_design_scores_gemma":[0.00000336057,0.00005640747,0.9987091,0.000005130243,0.0000186624,0.000542048,0.0001682302,0.000113519,0.00003522877,0.00005307336,0.0002911009,0.000004214939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950591,0.002514193,0.0001381516,0.0002156139,0.00001302403,0.000005573075,0.0007801962,0.000009436616,0.001264595],"genre_scores_gemma":[0.9983468,0.0007870726,0.00005613311,0.00002818728,0.00003641241,0.000004131419,0.0005037142,0.000002560925,0.0002350138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002383621,"threshold_uncertainty_score":0.00622648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309949202347217,"score_gpt":0.3852238586296991,"score_spread":0.2542289383949774,"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."}}