{"id":"W4379967661","doi":"10.34067/kid.0000000000000190","title":"Multiview Clustering to Identify Novel Kidney Donor Phenotypes for Assessing Graft Survival in Older Transplant Recipients","year":2023,"lang":"en","type":"article","venue":"Kidney360","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"QEII Foundation","keywords":"Cluster analysis; Medicine; Cohort; Kidney transplantation; Phenotype; Proportional hazards model; Cluster (spacecraft); Transplantation; Internal medicine; Machine learning; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004256058,0.0006035457,0.0007294967,0.003450355,0.0004786418,0.0011818,0.0008632562,0.0004496136,0.001665151],"category_scores_gemma":[0.009546248,0.00021417,0.00137112,0.001379087,0.0002802997,0.000577927,0.001180725,0.0006968862,0.0004105152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062749,"about_ca_system_score_gemma":0.000972116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006512406,"about_ca_topic_score_gemma":0.00755418,"domain_scores_codex":[0.9985058,0.0005192824,0.0001851891,0.0003930912,0.0002760899,0.0001205823],"domain_scores_gemma":[0.9959456,0.0009591831,0.001442809,0.0005057163,0.0009100206,0.0002366845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006614626,0.0002212324,0.8489807,0.0002237035,0.001074545,0.0001270575,0.00040525,0.0366565,0.003934099,0.001884332,0.005570576,0.1002606],"study_design_scores_gemma":[0.00007476832,0.0003435419,0.5697576,0.0001701509,0.0003539482,0.0005568851,0.000763709,0.4099537,0.004142903,0.009278746,0.004452632,0.0001514725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7421431,0.001257168,0.2455819,0.0006753958,0.0001543929,0.0005487877,0.005600656,0.00117713,0.002861452],"genre_scores_gemma":[0.9426368,0.0001387497,0.05397689,0.00008465146,0.00006651285,0.0001847086,0.002356351,0.00008020113,0.0004751227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006512406,"threshold_uncertainty_score":0.02250844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06248185430728753,"score_gpt":0.3802610460464042,"score_spread":0.3177791917391167,"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."}}