{"id":"W3095251893","doi":"10.14740/jocmr4367","title":"Associations Between High Levels of High-Density Lipoprotein Cholesterol and the Presence and Severity of Coronary Artery Disease in Patients Who Have Undergone Coronary Computed Tomography Angiography","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronary artery disease; Internal medicine; Cardiology; High-density lipoprotein; Triglyceride; Cholesterol; Stenosis; Angiography; Coronary atherosclerosis; Coronary angiography; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005929026,0.000307509,0.0003625218,0.0007884402,0.0004324806,0.0005917111,0.0003269195,0.0007989769,0.001438718],"category_scores_gemma":[0.002229981,0.0002975142,0.0003974241,0.0008856383,0.0004274892,0.0003253813,0.0002772567,0.0009090508,0.0001889035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002284363,"about_ca_system_score_gemma":0.0002401414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003252338,"about_ca_topic_score_gemma":0.004030557,"domain_scores_codex":[0.9996967,0.00008076102,0.00004198598,0.00006139014,0.00006162313,0.0000575552],"domain_scores_gemma":[0.9977559,0.0005053863,0.0008493392,0.0001396721,0.0001849743,0.0005646766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000745084,0.0000140471,0.9996215,0.000002485798,0.00002090342,0.00003910678,0.000009364999,0.00001009559,0.00006368515,0.000003427131,0.00001785317,0.0001229416],"study_design_scores_gemma":[0.000006265812,0.00004565134,0.9996288,0.000001930511,0.00001925674,0.0001484897,0.00003581626,0.0000677261,0.00001468253,0.000008216703,0.00002145004,0.000001737178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993081,0.0002382262,0.00003562286,0.00003790472,0.000008018274,0.000004872986,0.0001055068,0.000001918207,0.0002598591],"genre_scores_gemma":[0.9996996,0.00006123197,0.00003386472,0.00001763215,0.00001508948,0.000003157534,0.000121678,6.473068e-7,0.00004710407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003252338,"threshold_uncertainty_score":0.006466806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09517425722227796,"score_gpt":0.3859246007706724,"score_spread":0.2907503435483944,"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."}}