{"id":"W4412851833","doi":"10.1016/j.ajt.2025.07.2045","title":"Associations of Pretransplant Patient-Reported Outcomes Measurement Information System Physical Function Score with Early Kidney Transplant Outcomes","year":2025,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Kidney transplant; Kidney transplantation; Patient-Reported Outcomes Measurement Information System; Renal function; Internal medicine; Kidney; Intensive care medicine; Computerized adaptive testing; Clinical psychology; Psychometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001859297,0.0002194703,0.0003712054,0.0009596385,0.0002684839,0.0009792672,0.0003526236,0.0004505479,0.003305998],"category_scores_gemma":[0.01086416,0.0001972811,0.0008925224,0.001691544,0.0002461361,0.0007369298,0.0007104113,0.00187549,0.0002881665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744595,"about_ca_system_score_gemma":0.0007629676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468193,"about_ca_topic_score_gemma":0.003781469,"domain_scores_codex":[0.9983827,0.0005815569,0.0002668159,0.0002415723,0.0002458979,0.0002814549],"domain_scores_gemma":[0.9864422,0.005560988,0.005509705,0.0006629932,0.0007598576,0.001064225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313202,0.00002721715,0.9982908,0.000008001667,0.00008469797,0.00001132308,0.00001483326,0.00005247059,0.00003876377,0.00002229107,0.00009222814,0.001225907],"study_design_scores_gemma":[0.000005474896,0.00005615529,0.9991003,0.000005509497,0.0000553406,0.00004981554,0.00005147942,0.0004282765,0.0000546579,0.00004654092,0.0001425627,0.000003825642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958134,0.0005240827,0.000416514,0.0002824784,0.00003618406,0.000008713093,0.001855704,0.00001378238,0.001049091],"genre_scores_gemma":[0.9985856,0.00009677948,0.0001624459,0.00004058216,0.00003525227,0.00001022441,0.0008253389,0.000003434221,0.0002403436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003468193,"threshold_uncertainty_score":0.0110597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136781335294685,"score_gpt":0.223753785646118,"score_spread":0.2123859722931711,"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."}}