{"id":"W3036492268","doi":"10.1016/j.jcmg.2020.03.017","title":"CAD Severity on Cardiac CTA Identifies Patients With Most Benefit of Treating LDL-Cholesterol to ACC/AHA and ESC/EAS Targets","year":2020,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"U.S. Food and Drug Administration; National Institutes of Health; Aarhus Universitetshospital; American Heart Association; Aetna Foundation","keywords":"Cardiology; Medicine; Internal medicine; CAD; Ldl cholesterol; Cholesterol; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.000367282,0.0003092988,0.0005453744,0.0008997387,0.0002690363,0.001003315,0.0001835833,0.0005525674,0.006856478],"category_scores_gemma":[0.002254314,0.0001246794,0.0006362928,0.0005504211,0.0001979613,0.0004798842,0.0002894797,0.0006378894,0.0008372464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480132,"about_ca_system_score_gemma":0.0004238926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266614,"about_ca_topic_score_gemma":0.004712781,"domain_scores_codex":[0.9997768,0.00005523681,0.00002754706,0.00003426868,0.00004626517,0.00005989179],"domain_scores_gemma":[0.9992804,0.0001868907,0.0001747024,0.00002740716,0.0001052373,0.0002253369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001506964,0.0001827606,0.948383,0.0001109705,0.0002857299,0.0003955113,0.00005439295,0.0002586532,0.001846393,0.0005213997,0.005574567,0.04087965],"study_design_scores_gemma":[0.00008086274,0.0002178876,0.993318,0.0001256541,0.0004139385,0.001067113,0.0001846458,0.000649721,0.0003170509,0.001088821,0.002518238,0.00001812926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483949,0.007274609,0.0006286131,0.003874727,0.0002169026,0.00006493472,0.001670175,0.00004283859,0.03783222],"genre_scores_gemma":[0.9948578,0.00140806,0.0004404731,0.0006536458,0.0003915539,0.00001491857,0.001272533,0.00001220085,0.0009487987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006856478,"threshold_uncertainty_score":0.02293718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007265526859946995,"score_gpt":0.2173920325958094,"score_spread":0.2101265057358624,"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."}}