{"id":"W2797866798","doi":"10.15829/1560-4071-2018-3-11-16","title":"EVALUATION OF THE PREVALENCE OF CARDIOVASCULAR EVENTS AND MORTALITY IN STABLE CORONARY HEART DISEASE PATIENTS DEPENDING ON BASELINE CORONARY COLLATERAL BLOOD FLOW (FIVE YEAR FOLLOW-UP)","year":2018,"lang":"en","type":"article","venue":"Russian Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Myocardial infarction; Angina; Coronary artery disease; Percutaneous coronary intervention; Canadian Cardiovascular Society; Fractional flow reserve; Revascularization; Stroke (engine); Unstable angina; Logistic regression; Coronary angiography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002666183,0.0001222342,0.000634317,0.0001164623,0.00003879095,0.000002816581,0.00008553216,0.00006492038,0.00001652837],"category_scores_gemma":[0.0009703841,0.00008960262,0.0003816146,0.0001210949,0.0001677661,0.00006705318,0.00005508905,0.0001797862,9.624619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008772532,"about_ca_system_score_gemma":0.0003499923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439451,"about_ca_topic_score_gemma":0.000001512397,"domain_scores_codex":[0.9973636,0.0009740184,0.000482692,0.0001718621,0.0008347397,0.0001731087],"domain_scores_gemma":[0.9986657,0.0001479725,0.0002315928,0.0003369322,0.0004924674,0.0001253624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007128727,0.00008476084,0.9946085,0.0001218979,0.0007425138,0.00003917116,0.0001015955,0.002587079,0.00005632701,0.000005693712,0.0001074417,0.0008321808],"study_design_scores_gemma":[0.006087115,0.0006541734,0.9878488,0.000515324,0.003752687,0.0001420582,0.00003430833,0.0004593405,0.0002180064,0.0001692476,0.00004689082,0.00007203814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963235,0.002077203,0.00005665686,0.00007879575,0.0007168956,0.0003789347,0.0001132075,0.000002487637,0.000252356],"genre_scores_gemma":[0.9994143,0.0001602843,0.0001164894,0.00004721434,0.000225435,0.000004052698,0.000007507741,0.0000122715,0.00001245461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006759655,"threshold_uncertainty_score":0.3653889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036753009883116,"score_gpt":0.2838564416227634,"score_spread":0.2634889115239323,"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."}}