{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000214812,0.0003289494,0.0008087074,0.0001692042,0.00009674415,0.00002985534,0.0001148539,0.0003787509,0.0007880953],"category_scores_gemma":[0.00007028462,0.0003342511,0.0003566885,0.0001316206,0.0002015508,0.00008542628,0.0001950256,0.001348545,0.00001550391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342948,"about_ca_system_score_gemma":0.0002329143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006794573,"about_ca_topic_score_gemma":0.000001133058,"domain_scores_codex":[0.9981561,0.0001269012,0.000430164,0.0004849138,0.0004868281,0.000315075],"domain_scores_gemma":[0.9987263,0.0003414991,0.0002373468,0.0005344829,0.00008024138,0.00008014308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000937918,0.0001208677,0.06023538,0.001040631,0.0003012796,0.000127937,0.0002315933,4.717245e-7,0.001539904,0.000003140266,0.9307007,0.005604364],"study_design_scores_gemma":[0.001773296,0.0008689408,0.622336,0.0007651631,0.001066877,0.0003048984,0.00006659227,0.000004483543,0.000382148,0.0001159005,0.3719025,0.0004132192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6580941,0.01165637,0.0001499828,0.3095896,0.002669911,0.002360829,0.001894438,0.0004189717,0.01316577],"genre_scores_gemma":[0.1644281,0.002151135,0.001170647,0.8122891,0.002874848,0.000313334,0.004896159,0.0003559223,0.01152076],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5621006,"threshold_uncertainty_score":0.999911,"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."}}