{"id":"W3020996739","doi":"10.1097/ju.0000000000000912.05","title":"MP50-05 HOW WELL DOES RENAL MASS SIZE MEASURED BY ULTRASOUND CORRELATE WITH MEASUREMENTS OBTAINED BY CT, MRI OR PATHOLOGY? ANALYSIS FROM THE CANADIAN KIDNEY CANCER INFORMATION SYSTEM","year":2020,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Radiology; Magnetic resonance imaging; Pathological; Ultrasound; Kidney cancer; Nuclear medicine; Cohort; Renal mass; Cancer; Kidney; Pathology; Nephrectomy; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002155219,0.0003051918,0.000471173,0.003754095,0.0007738718,0.0007729531,0.001252288,0.0002597844,0.003890003],"category_scores_gemma":[0.01453891,0.0001913906,0.0007244549,0.006981757,0.0004175842,0.0003761121,0.0008012738,0.0004435862,0.0004933975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005362805,"about_ca_system_score_gemma":0.007844536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6993914,"about_ca_topic_score_gemma":0.6737232,"domain_scores_codex":[0.9971239,0.0003010525,0.0002842823,0.0003259698,0.001641062,0.0003236395],"domain_scores_gemma":[0.98773,0.002605929,0.003998465,0.0004077939,0.004444835,0.0008129847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006733181,0.000006169897,0.9955726,0.00004264652,0.00007647921,0.00001919515,0.00004018335,0.0001433329,0.00005887483,0.00003898294,0.002029222,0.001904973],"study_design_scores_gemma":[0.000004592406,0.00001297606,0.9986217,0.0000104727,0.00002057475,0.00004293334,0.00006267094,0.0003945177,0.00004421255,0.00001325964,0.0007678103,0.000004303191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820822,0.0008887647,0.0009964191,0.0005585696,0.0000316923,0.0002235062,0.105057,0.0001376502,0.01002413],"genre_scores_gemma":[0.9696805,0.0002196017,0.0008218641,0.00007288158,0.00001808478,0.0001319944,0.02840786,0.00001691295,0.0006304435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3006086,"threshold_uncertainty_score":0.6047579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657848886827315,"score_gpt":0.213458943799949,"score_spread":0.1968804549316758,"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."}}