{"id":"W2758069800","doi":"10.1016/j.cjca.2017.07.186","title":"DEVELOPMENT OF A RISK CALCULATOR TO PREDICT NON-INSTITUTIONALIZED SURVIVAL IN PATIENTS WITH PROLONGED LENGTH OF STAY AFTER CARDIAC SURGERY","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba","funders":"","keywords":"Medicine; Cohort; Logistic regression; EuroSCORE; Stepwise regression; Calculator; Derivation; Internal medicine; Brier score; Surgery; Cardiac surgery; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004769572,0.0008199665,0.001121069,0.002257037,0.0005995499,0.00241924,0.000911282,0.0007755007,0.001389033],"category_scores_gemma":[0.01705914,0.0004261321,0.001111549,0.00117776,0.0002534012,0.001291579,0.0007899029,0.001334593,0.0003693033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071904,"about_ca_system_score_gemma":0.002123735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944529,"about_ca_topic_score_gemma":0.003728913,"domain_scores_codex":[0.9984194,0.0006285668,0.0003017666,0.0001800472,0.0003591779,0.0001110641],"domain_scores_gemma":[0.9905611,0.005323063,0.001539149,0.0003137581,0.0018162,0.0004467811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001722557,0.0008791632,0.9336773,0.00009591551,0.0005416324,0.0001255825,0.0001441671,0.00289786,0.0004582236,0.0007204601,0.001975024,0.05676215],"study_design_scores_gemma":[0.001110942,0.003803449,0.7398469,0.0004529238,0.002900096,0.001166848,0.001063753,0.2290503,0.007563026,0.003758004,0.009084754,0.0001990516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738898,0.001179154,0.01617585,0.001225492,0.0002373718,0.0007020888,0.001402076,0.0005225954,0.004665458],"genre_scores_gemma":[0.960335,0.0004139772,0.03594255,0.0002483168,0.0001252431,0.0004797084,0.001504454,0.00004144154,0.0009093222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004769572,"threshold_uncertainty_score":0.02522427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112718263734417,"score_gpt":0.229380166776161,"score_spread":0.2181083404027193,"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."}}