{"id":"W4360746827","doi":"10.1097/ju.0000000000003324.05","title":"PD31-05 THE CANADIAN ANATOMIC KIDNEY SCORE: QUANTITATIVE MACROSCOPIC ASSESSMENT VERSUS HISTOLOGICAL GRADING IN PRE-TRANSPLANT EVALUATION OF DONOR KIDNEYS","year":2023,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Grading (engineering); Kidney; Biopsy; Scars; Pathology; Urology; 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":[0.003163304,0.0002910918,0.0004999621,0.002304673,0.0007241526,0.001821643,0.0007910946,0.00067352,0.04958967],"category_scores_gemma":[0.01373091,0.0001715138,0.0005438407,0.002260335,0.0006018534,0.000857265,0.0012853,0.0009879717,0.006320012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002832163,"about_ca_system_score_gemma":0.005098981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05893655,"about_ca_topic_score_gemma":0.1227928,"domain_scores_codex":[0.998199,0.000351761,0.0001313601,0.00009414576,0.001033323,0.0001903687],"domain_scores_gemma":[0.9916917,0.001124056,0.0009303708,0.0002991155,0.004302401,0.001652244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001916909,0.0001887388,0.2224157,0.0005133616,0.0001353384,0.0001629433,0.0001076399,0.0005817593,0.001123344,0.002251226,0.4661913,0.3044118],"study_design_scores_gemma":[0.00061457,0.0009701456,0.6368576,0.001861935,0.0001960182,0.002042471,0.0005479073,0.003015903,0.002377782,0.002166666,0.3491641,0.000184846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3035552,0.01981579,0.02167038,0.03118725,0.007371658,0.004122191,0.08134551,0.002279148,0.5286528],"genre_scores_gemma":[0.8151014,0.008916852,0.03890874,0.003896839,0.001759252,0.001614669,0.03820605,0.0008131234,0.0907831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9410635,"threshold_uncertainty_score":0.165894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09118302929399213,"score_gpt":0.3810166804739137,"score_spread":0.2898336511799216,"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."}}