{"id":"W2780834807","doi":"10.1111/petr.13105","title":"Prelisting predictions of early postoperative survival in infant heart transplantation using classification and regression tree analysis","year":2017,"lang":"en","type":"article","venue":"Pediatric Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Cart; Medicine; Transplantation; Candidacy; Heart transplantation; Hematocrit; Survival analysis; Regression analysis; Internal medicine; Intensive care medicine; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040657,0.0001951621,0.0004718082,0.000654727,0.0003042083,0.0000548651,0.0000855386,0.0001529208,0.000009609087],"category_scores_gemma":[0.00006537033,0.0001736778,0.000131519,0.0004485655,0.00008422794,0.0005001317,0.00000502976,0.000201003,6.82131e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004306416,"about_ca_system_score_gemma":0.00009804733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014496,"about_ca_topic_score_gemma":0.00125381,"domain_scores_codex":[0.9982804,0.0001716844,0.0006234212,0.0003689782,0.000356844,0.0001986875],"domain_scores_gemma":[0.998872,0.0002581046,0.0003494328,0.0002765578,0.0001454714,0.00009846607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007971387,0.00007211659,0.9879855,0.0005494613,0.00007386524,0.00002196517,0.003606214,0.0003871174,0.00585596,0.000171062,8.821717e-7,0.0004787019],"study_design_scores_gemma":[0.002375368,0.0001507688,0.9842339,0.0001306872,0.003704644,0.00004715969,0.0001287564,0.00781803,0.001219089,0.00003509817,0.000001676087,0.0001547944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550961,0.0001510053,0.04340217,0.0002283887,0.0001375049,0.0004338719,0.0002127361,0.00003685711,0.0003013916],"genre_scores_gemma":[0.9816422,0.005190501,0.01265051,0.00001597533,0.000100984,0.0000197549,0.0003447194,0.00001744809,0.00001787645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03075165,"threshold_uncertainty_score":0.7082375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0637127643640927,"score_gpt":0.3675119937509418,"score_spread":0.3037992293868491,"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."}}