{"id":"W4408447313","doi":"10.1177/20543581251322576","title":"Using Unsupervised Clustering to Characterize Phenotypes Among Older Kidney Transplant Recipients: A Cohort Study","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Dalhousie University","funders":"","keywords":"Medicine; Hazard ratio; Proportional hazards model; Cohort; Internal medicine; Retrospective cohort study; Kidney transplantation; Confidence interval; Cohort study; Cluster (spacecraft); Kidney disease; Transplantation","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":[0.003195873,0.000401898,0.0003203645,0.001366409,0.000869085,0.0008573981,0.0006048763,0.0004786231,0.0006832291],"category_scores_gemma":[0.005191794,0.0002926016,0.0009469657,0.001124463,0.0003815801,0.0006252069,0.0009043507,0.0006489182,0.0001738499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005042845,"about_ca_system_score_gemma":0.0009700038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007041613,"about_ca_topic_score_gemma":0.01071027,"domain_scores_codex":[0.9988199,0.0004198412,0.0001342026,0.0003034987,0.0001897903,0.0001328057],"domain_scores_gemma":[0.9964437,0.0004211346,0.001508347,0.0008156157,0.0005213522,0.00028989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009658113,0.0000681913,0.9973786,0.000009294899,0.0001160573,0.00003343929,0.0001579478,0.0000924053,0.0002420455,0.00003501067,0.0001799438,0.001590706],"study_design_scores_gemma":[0.00004019659,0.0002183631,0.9961866,0.00001957111,0.0001337487,0.0003279573,0.0005104701,0.00164459,0.0002062003,0.0001994963,0.0004923734,0.00002046159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982175,0.00007862546,0.001039086,0.00003766096,0.000008149275,0.00005629862,0.0004009698,0.000006265092,0.0001554477],"genre_scores_gemma":[0.9971438,0.00007639469,0.001763231,0.00004720129,0.00001568466,0.00008003499,0.0007580137,0.000007608528,0.0001080448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007041613,"threshold_uncertainty_score":0.01690155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844265240493179,"score_gpt":0.3115990745686982,"score_spread":0.2831564221637665,"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."}}