{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003755794,0.0006162849,0.0005108239,0.0013266,0.0001891084,0.0008141103,0.0003845019,0.0003958915,0.0007433032],"category_scores_gemma":[0.01059621,0.0001659122,0.0005555281,0.000641831,0.0001246912,0.0004008082,0.0004130999,0.0006393498,0.0002338906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393379,"about_ca_system_score_gemma":0.0007116226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006053567,"about_ca_topic_score_gemma":0.004752134,"domain_scores_codex":[0.9990465,0.0006808179,0.00005779545,0.00005229297,0.00008619483,0.00007639673],"domain_scores_gemma":[0.9929824,0.005664299,0.0004756583,0.0001767166,0.00048879,0.0002122574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001311649,0.0003541699,0.7593358,0.00006024245,0.0002574853,0.0003820582,0.0001830277,0.1427276,0.001113693,0.0005595563,0.001548136,0.09216658],"study_design_scores_gemma":[0.00002572369,0.0003100913,0.07273294,0.00003572655,0.00008714754,0.0001324243,0.0001215614,0.9243886,0.000890794,0.0009134983,0.0003385919,0.00002276004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651126,0.0003265288,0.03283262,0.0002786359,0.00003454723,0.00006008903,0.0005365373,0.0001687968,0.0006497424],"genre_scores_gemma":[0.9877127,0.0001431389,0.01134527,0.00002165251,0.00001423342,0.00002966573,0.000547938,0.00001146588,0.0001738516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006053567,"threshold_uncertainty_score":0.01986277,"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."}}