{"id":"W2136162321","doi":"10.1186/s13054-014-0651-5","title":"Predicting cardiovascular intensive care unit readmission after cardiac surgery: derivation and validation of the Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH) cardiovascular intensive care unit clinical prediction model from a registry cohort of 10,799 surgical cases","year":2014,"lang":"en","type":"article","venue":"Critical Care","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network; Alberta Health; Vanguard College; University of Alberta; University of Alberta Hospital","funders":"","keywords":"Medicine; Intensive care unit; Perioperative; Emergency medicine; Ejection fraction; Derivation; Coronary artery disease; Cardiac surgery; Cohort; Aortic valve replacement; Pneumonia; Intensive care; Internal medicine; Surgery; Intensive care medicine; Heart failure; Artery; Stenosis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005671978,0.0004638103,0.0004769005,0.00100506,0.0005770056,0.001002885,0.001056742,0.0003477247,0.000529321],"category_scores_gemma":[0.01355559,0.0002216175,0.0005359381,0.000964554,0.0003695995,0.0001883603,0.0008788054,0.0005724312,0.0001654553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629717,"about_ca_system_score_gemma":0.005881077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3563098,"about_ca_topic_score_gemma":0.3146904,"domain_scores_codex":[0.9988255,0.000423703,0.00007373533,0.0001677681,0.0003936411,0.0001156454],"domain_scores_gemma":[0.9956754,0.001523669,0.0007412698,0.0003961087,0.001314154,0.0003494314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385012,0.0001067308,0.9875619,0.000009992194,0.00007763401,0.00006060356,0.0001056891,0.004559009,0.0001146033,0.00006819659,0.0005480242,0.006649128],"study_design_scores_gemma":[0.00007865192,0.0001768332,0.8969527,0.00002619947,0.00009054239,0.0001270017,0.0002861562,0.1015188,0.0001701505,0.00015263,0.000405954,0.00001432779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997923,0.00003783027,0.001041691,0.00006402683,0.00000541367,0.0000720797,0.0005172975,0.00001666256,0.0003220563],"genre_scores_gemma":[0.9958335,0.00004370468,0.002180131,0.00002005259,0.000005269867,0.00004237861,0.001757021,0.000003406154,0.0001145976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6436902,"threshold_uncertainty_score":0.7084717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06009240659605379,"score_gpt":0.344784991193115,"score_spread":0.2846925845970612,"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."}}