{"id":"W3019361153","doi":"10.1097/ccm.0000000000004354","title":"Predicting and Surviving Prolonged Critical Illness After Congenital Heart Surgery","year":2020,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute","keywords":"Medicine; Critical illness; Mechanical ventilation; Illness severity; Severity of illness; Logistic regression; Cardiac surgery; Intensive care; Emergency medicine; Intensive care medicine; Pediatrics; Internal medicine; Critically ill","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":[0.0007739526,0.0003018144,0.0002790321,0.0005119284,0.0003505165,0.0004943117,0.00034084,0.0003608106,0.001026471],"category_scores_gemma":[0.006547219,0.0001479504,0.000257565,0.0005390499,0.0003721595,0.000469214,0.0006309773,0.0006290691,0.00009461118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586375,"about_ca_system_score_gemma":0.000910315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126076,"about_ca_topic_score_gemma":0.003526825,"domain_scores_codex":[0.9993149,0.0001801309,0.00009784024,0.0001062143,0.0001318536,0.0001690942],"domain_scores_gemma":[0.9943228,0.001048344,0.003442454,0.0001014593,0.0003262638,0.0007586583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001855902,0.000008400251,0.9990281,0.000005249108,0.000007262224,0.00006207733,0.00002146186,0.00004615488,0.00003812951,0.000008153326,0.00004501838,0.0007114646],"study_design_scores_gemma":[0.000003576788,0.000108265,0.9985655,0.00001915869,0.000008921964,0.0005231369,0.00015704,0.0004156913,0.00008137043,0.00003675237,0.0000767867,0.000003792532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993774,0.0002219422,0.0001003499,0.00007101726,0.000004734536,0.000004691298,0.00008023607,0.000001793904,0.0001378671],"genre_scores_gemma":[0.9995603,0.0001099102,0.000111472,0.00001009461,0.00001627659,0.00000351933,0.0001669645,7.23089e-7,0.00002063468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002126076,"threshold_uncertainty_score":0.004227459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316417079086414,"score_gpt":0.3186748782492945,"score_spread":0.2870331703406531,"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."}}