{"id":"W4402093177","doi":"10.5489/cuaj.8870","title":"Evaluation of proudP","year":2024,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; University Health Network; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Urination; Concordance; Standard deviation; Computer science; Statistics; Simulation; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004006054,0.001266857,0.0007516763,0.001432872,0.000375782,0.002168385,0.001591185,0.001147293,0.003110348],"category_scores_gemma":[0.01992959,0.0003066039,0.0004818899,0.0006291584,0.0004122492,0.001341432,0.001244872,0.0006995784,0.00123508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000656804,"about_ca_system_score_gemma":0.0009013123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665573,"about_ca_topic_score_gemma":0.0009479342,"domain_scores_codex":[0.99712,0.0008336736,0.0002597383,0.0006998538,0.0009600302,0.000126663],"domain_scores_gemma":[0.9920416,0.003773255,0.0006167417,0.0007431819,0.002555568,0.0002695668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00347193,0.0008795802,0.04982574,0.001359734,0.000402513,0.0004877859,0.0005522696,0.1119154,0.02031562,0.003260755,0.01603015,0.7914985],"study_design_scores_gemma":[0.0002315055,0.002211868,0.03070334,0.0001897837,0.0001568106,0.0007669256,0.0002297728,0.9022135,0.03908675,0.002285888,0.0217784,0.0001454763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4676484,0.002704512,0.4834547,0.0006927741,0.0007710501,0.001538553,0.003894007,0.02498025,0.01431577],"genre_scores_gemma":[0.8462804,0.0004404504,0.1461347,0.0002751882,0.00009800885,0.0007073853,0.002924025,0.0007229226,0.002417138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004006054,"threshold_uncertainty_score":0.02118629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270762738971985,"score_gpt":0.2934088298082176,"score_spread":0.2663325559110191,"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."}}