{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006281826,0.0002235888,0.0002628721,0.0008628853,0.0002972117,0.0002993782,0.0002186928,0.0004715673,0.001163359],"category_scores_gemma":[0.001621953,0.0001794768,0.0003756837,0.000480329,0.0001718037,0.0002609178,0.0003084557,0.0003257941,0.0001419295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662007,"about_ca_system_score_gemma":0.000177477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280009,"about_ca_topic_score_gemma":0.003621168,"domain_scores_codex":[0.9996784,0.00008118154,0.000035408,0.0000784806,0.00006214606,0.00006445765],"domain_scores_gemma":[0.9989018,0.0001595911,0.0005033719,0.00006088167,0.0001225579,0.0002518498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007273621,0.00001450983,0.9994443,0.000003290256,0.00002152659,0.00002799629,0.00001167061,0.000009866171,0.00004627766,0.000002771374,0.00001769289,0.0003271808],"study_design_scores_gemma":[0.000002915983,0.00008548484,0.999667,0.000001584531,0.00001437898,0.0001068108,0.00002552949,0.00005750576,0.00001308262,0.000005249236,0.00001925913,0.000001148994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999513,0.0001676812,0.00004218704,0.00001285356,0.000002228763,0.000004099221,0.000162669,0.000001763948,0.00009356962],"genre_scores_gemma":[0.9996076,0.00003638857,0.00003033943,0.000004906754,0.000004510074,0.000003911039,0.0002657163,3.356197e-7,0.0000463016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002280009,"threshold_uncertainty_score":0.00453347,"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."}}