{"id":"W2898353527","doi":"","title":"ÜÇ FARKLI RİSK SKORLAMA SİSTEMİNİN KORONER ARTER BAYPAS GREFTLEME YAPILAN HASTALARDA MORTALİTE ÖNGÖRMEDEKİ ETKİNLİKLERİNİN KARŞILAŞTIRILMASI The Comparison of the Efficacy of Three Different Risk-Scoring Systems on Predicting the Mortality Rates of Patients Undergoing Coronary Artery Bypass Grafting","year":2018,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gynecology","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":[0.001804069,0.0004387661,0.0006631039,0.001083794,0.0003694528,0.001358061,0.0003615108,0.0004512674,0.00435806],"category_scores_gemma":[0.0041685,0.0002001819,0.0009048005,0.001041027,0.0002901083,0.0004984699,0.0005707581,0.0007102746,0.000739413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007681396,"about_ca_system_score_gemma":0.0011213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004323953,"about_ca_topic_score_gemma":0.00412914,"domain_scores_codex":[0.9991893,0.0002271971,0.000107542,0.0001118337,0.0002696874,0.00009440944],"domain_scores_gemma":[0.9985044,0.0004510694,0.0004295007,0.00008327822,0.0003975241,0.0001342435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005339948,0.0004859327,0.8095722,0.0005715509,0.0005475924,0.0004057642,0.0007664351,0.001422148,0.003376938,0.0006017087,0.003452932,0.1734568],"study_design_scores_gemma":[0.0002402317,0.002324729,0.9782555,0.0003360675,0.0007408012,0.001335453,0.001211223,0.002640813,0.005028433,0.0008690255,0.006948167,0.00006962505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857672,0.005473377,0.002231097,0.0006169064,0.000111637,0.0001383185,0.001148619,0.00006022632,0.004452618],"genre_scores_gemma":[0.9911541,0.002184016,0.002481635,0.0001080125,0.0000624529,0.000158158,0.001330388,0.00001550598,0.002505763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00435806,"threshold_uncertainty_score":0.01457912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987030753056358,"score_gpt":0.2548040398183472,"score_spread":0.2249337322877836,"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."}}