{"id":"W4360607774","doi":"10.1097/ju.0000000000003319.02","title":"MP61-02 DEVELOPMENT, MULTI-INSTITUTIONAL EXTERNAL VALIDATION, AND ALGORITHMIC AUDIT OF SEPERA - AN ARTIFICIAL INTELLIGENCE-BASED SIDE-SPECIFIC EXTRA-PROSTATIC EXTENSION RISK ASSESSMENT TOOL FOR PATIENTS UNDERGOING RADICAL PROSTATECTOMY","year":2023,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Audit; Prostatectomy; Extension (predicate logic); Art history; Management; History; Prostate cancer; Computer science; 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":[0.1101688,0.0007579796,0.001098364,0.002739296,0.001081293,0.004234677,0.002829382,0.001373719,0.007895315],"category_scores_gemma":[0.246531,0.0008099203,0.001792841,0.00173822,0.001262159,0.002318389,0.004480246,0.002732918,0.005683387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163666,"about_ca_system_score_gemma":0.01213961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003372124,"about_ca_topic_score_gemma":0.004525376,"domain_scores_codex":[0.9477003,0.02424592,0.007628803,0.00333638,0.01573834,0.001350221],"domain_scores_gemma":[0.7621713,0.09525777,0.01627588,0.02801687,0.09183684,0.006441245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007408027,0.003328275,0.336759,0.001505589,0.001094608,0.0005594107,0.00287423,0.007402533,0.004727207,0.004190106,0.1850778,0.4450732],"study_design_scores_gemma":[0.005592451,0.007619455,0.6004267,0.004534441,0.00111858,0.00242944,0.00245775,0.07339324,0.0203315,0.004398989,0.2772965,0.0004010404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5661969,0.002105823,0.2177341,0.01650057,0.003050531,0.07201301,0.04965181,0.01651601,0.05623125],"genre_scores_gemma":[0.5732224,0.0008444904,0.28127,0.004593314,0.000612771,0.03907435,0.08428618,0.003543753,0.01255273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1101688,"threshold_uncertainty_score":0.5826355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127672169499621,"score_gpt":0.315019635069238,"score_spread":0.2737429133742418,"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."}}