{"id":"W2922059208","doi":"","title":"Abstract 14811: A Clinical Risk Scoring Tool to Predict Readmission After Discharge From Cardiac Surgery: An Administrative and Clinical Database Study","year":2017,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hazard ratio; Proportional hazards model; Bypass grafting; Emergency medicine; Cardiology; Framingham Risk Score; Internal medicine; Surgery; Database; Artery; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004056065,0.0006733179,0.0006101712,0.001327904,0.001083115,0.001229067,0.001150017,0.0004747671,0.001787225],"category_scores_gemma":[0.0143919,0.0003844698,0.0006417123,0.002635794,0.0005069431,0.0006135012,0.0008692174,0.0005884652,0.0006065334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007806207,"about_ca_system_score_gemma":0.008300233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5157633,"about_ca_topic_score_gemma":0.5333423,"domain_scores_codex":[0.9974204,0.0007707496,0.0002821695,0.0003066469,0.0009516815,0.0002683323],"domain_scores_gemma":[0.9905839,0.001562895,0.002547533,0.0008877745,0.003089187,0.001328816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002852004,0.00009775486,0.9962476,0.00002123019,0.00007956916,0.00002501537,0.0000876625,0.0001457706,0.00005116654,0.0000250737,0.0008458151,0.0020882],"study_design_scores_gemma":[0.00009577323,0.00009429955,0.9976637,0.00001678575,0.00006466908,0.00005223199,0.0001237694,0.00128759,0.00004354157,0.00002066609,0.0005288218,0.000008200755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868054,0.00008937345,0.0004722952,0.000276414,0.00001160053,0.0003444834,0.01091374,0.0000185463,0.001068072],"genre_scores_gemma":[0.9890297,0.00008611789,0.0009365234,0.00007097008,0.00001914069,0.0002850428,0.00907626,0.000007286428,0.0004889544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5157633,"threshold_uncertainty_score":0.9741769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038247254787393,"score_gpt":0.4630340883873898,"score_spread":0.3592093629086505,"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."}}