{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004114835,0.00009907323,0.0003224808,0.0002709433,0.00009966402,0.000006210523,0.0002270931,0.00009572455,0.00004899941],"category_scores_gemma":[0.0008593449,0.00004913925,0.000102791,0.0002932963,0.0002477173,0.00004065919,0.00002341356,0.0004680929,0.000006708031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445385,"about_ca_system_score_gemma":0.001164875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004552673,"about_ca_topic_score_gemma":0.01525374,"domain_scores_codex":[0.997979,0.0008980857,0.0004032541,0.00009466179,0.000379947,0.0002450471],"domain_scores_gemma":[0.9988174,0.0004582717,0.0002506117,0.0001681843,0.0001773704,0.0001281802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01909118,0.0007178219,0.7741596,0.0004233967,0.003163415,0.003050942,0.02860682,0.02946804,0.08924603,0.01232925,0.02752463,0.01221888],"study_design_scores_gemma":[0.005218298,0.002838896,0.9784045,0.00009936122,0.00101409,0.0007490856,0.0005601185,0.007915027,0.0006028147,0.001903536,0.0006011249,0.00009313683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863789,0.0007189746,0.00007279408,0.01174261,0.0005315825,0.0002864414,0.00001244556,0.000006489188,0.0002497642],"genre_scores_gemma":[0.9988337,0.0005615352,0.00009196961,0.0004380402,0.00003972998,0.000006708699,0.00001129485,0.000005604052,0.00001139643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2042449,"threshold_uncertainty_score":0.8511947,"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."}}