{"id":"W4410508468","doi":"10.1016/j.ekir.2025.05.023","title":"Assessing Social Participation Among Kidney Transplant Recipients Using PROMIS Computer Adaptive Testing","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; McGill University Health Centre; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; Institute for Clinical Evaluative Sciences; McGill University; University of Toronto; SickKids Foundation; University Health Network","funders":"Canadian Institutes of Health Research; Kidney Foundation of Canada","keywords":"Medicine; Kidney transplant; Computerized adaptive testing; Renal transplant; Intensive care medicine; Kidney transplantation; Transplantation; Internal medicine; Clinical psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00354969,0.0003058165,0.0003118175,0.0008676097,0.0003125494,0.0005516263,0.0003682381,0.0001984639,0.001298357],"category_scores_gemma":[0.005014805,0.0001133019,0.0006040265,0.0009495265,0.0002013535,0.0002973418,0.0006782638,0.00033783,0.0002055312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005093371,"about_ca_system_score_gemma":0.001241197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920694,"about_ca_topic_score_gemma":0.01170689,"domain_scores_codex":[0.9982435,0.0007160457,0.0002529956,0.0001117928,0.0005516549,0.000123995],"domain_scores_gemma":[0.9976076,0.0005683554,0.000945407,0.0001210928,0.0005355017,0.0002219277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000170684,0.0002330414,0.9717135,0.00009884832,0.000129504,0.00002847635,0.0004115039,0.0002732287,0.0003865605,0.00007188344,0.0005078205,0.02597493],"study_design_scores_gemma":[0.00002605873,0.0003354111,0.9978288,0.00003747928,0.00002668646,0.00007001885,0.0001724774,0.0006334774,0.0001830526,0.00006623867,0.0006126264,0.000007758756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993811,0.000315019,0.001114145,0.0001733541,0.00001160371,0.0006005066,0.001521686,0.00002832576,0.002424409],"genre_scores_gemma":[0.9946482,0.0002126403,0.002930551,0.00004798546,0.0000121752,0.0007623674,0.001021974,0.000002798579,0.0003612942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004920694,"threshold_uncertainty_score":0.01877278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951290645906928,"score_gpt":0.3739675625461771,"score_spread":0.3044546560871078,"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."}}