{"id":"W4220963642","doi":"10.1016/j.atherosclerosis.2022.03.009","title":"Primary vs. secondary prevention and coronary artery calcium: Shades of grey","year":2022,"lang":"en","type":"letter","venue":"Atherosclerosis","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Internal medicine; Coronary Calcium Score; Coronary artery calcium; Cohort; Cardiology; Coronary artery disease; Atherosclerotic cardiovascular disease; Diabetes mellitus; Population; Placebo; Cohort study; Clinical endpoint; Clinical trial; Disease; Endocrinology; Pathology","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":[0.003931301,0.0004583177,0.001345309,0.0008035073,0.004518051,0.003851915,0.001207852,0.0255028,0.01228614],"category_scores_gemma":[0.01904802,0.0004493638,0.0007012148,0.0009860534,0.003398253,0.003173384,0.001528752,0.02711789,0.004309952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003490051,"about_ca_system_score_gemma":0.002510138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009549255,"about_ca_topic_score_gemma":0.02193099,"domain_scores_codex":[0.9974038,0.001235032,0.0002217696,0.0002887983,0.000501389,0.000349155],"domain_scores_gemma":[0.9911272,0.005328808,0.0004328797,0.0002411147,0.001187734,0.001682277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002256757,0.00005641773,0.003296423,0.00005173392,0.00002374762,0.002128727,0.0007037121,0.00003887668,0.0001917608,0.00778152,0.9722283,0.01327298],"study_design_scores_gemma":[0.0005917376,0.0001708356,0.0159952,0.001321212,0.0001044463,0.01169248,0.01103304,0.001083334,0.0003539989,0.08122966,0.8762155,0.0002084942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008477391,0.0008909837,0.0000432386,0.9879444,0.007036427,0.000003363079,0.00002138499,0.000005738253,0.00320672],"genre_scores_gemma":[0.02345858,0.002020736,0.0002597361,0.8840163,0.08352704,0.00002664519,0.00002717408,0.00003606572,0.006627723],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0255028,"threshold_uncertainty_score":0.04110128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646421776080155,"score_gpt":0.2571509667514987,"score_spread":0.2306867489906972,"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."}}