{"id":"W4295775510","doi":"10.1016/j.jcmg.2022.06.018","title":"Major Global Coronary Artery Calcium Guidelines","year":2022,"lang":"en","type":"review","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":214,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Canadian Cardiovascular Society; Guideline; Coronary artery disease; Dyslipidemia; Specialty; Disease; Coronary atherosclerosis; Atherosclerotic cardiovascular disease; Excellence; Intensive care medicine; Internal medicine; Family medicine; Cardiology; Angina; Myocardial infarction; Pathology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.001550024,0.001059471,0.004981615,0.0003365428,0.0003092974,0.0001652237,0.0004519091,0.0002293202,0.0003487144],"category_scores_gemma":[0.001224217,0.0009838005,0.01105684,0.0008821575,0.00014763,0.0001492055,0.000707956,0.001095776,0.0003507197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179671,"about_ca_system_score_gemma":0.00121041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001965029,"about_ca_topic_score_gemma":9.800841e-7,"domain_scores_codex":[0.9941869,0.0004971973,0.001337564,0.001360448,0.001675124,0.0009427966],"domain_scores_gemma":[0.9960506,0.0003197397,0.0002788726,0.002615533,0.0003067875,0.0004284915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009873085,0.00005611233,0.0008633538,0.006433657,0.005290003,0.006880104,0.00001220114,0.00001731052,7.205989e-8,0.00001382751,0.05058297,0.9298405],"study_design_scores_gemma":[0.001088739,0.0000204832,0.0003485568,0.00495315,0.02602755,0.02686185,0.00008020896,0.00002856013,2.891655e-7,0.00001773307,0.9397177,0.0008551917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003141906,0.9832056,0.001496351,0.0002032217,0.003339781,0.001472938,0.0003829258,0.0004739974,0.009422012],"genre_scores_gemma":[0.00002117708,0.9922872,0.001549392,0.0009074216,0.002925169,0.0003889243,0.001301638,0.0002509335,0.0003681985],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9289853,"threshold_uncertainty_score":0.9992613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0793008874471239,"score_gpt":0.3634321843586573,"score_spread":0.2841312969115334,"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."}}