{"id":"W2948744549","doi":"10.2337/db19-1482-p","title":"1482-P: Low-Density Lipoprotein Cholesterol (LDL-C) Management in Patients with Atherosclerotic Cardiovascular Diseases (ASCVD) and Preexisting Diabetes in Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Internal medicine; Guideline; Myocardial infarction; Atherosclerotic cardiovascular disease; Statin; Heart failure; Cholesterol; Retrospective cohort study; Disease; Cardiology; Endocrinology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007183768,0.0002771163,0.0003829041,0.001211325,0.002790659,0.001383399,0.001421477,0.0004741516,0.004302655],"category_scores_gemma":[0.001928782,0.0003089731,0.0005174391,0.004047695,0.0006714275,0.0003432527,0.0009413796,0.000809666,0.0003871208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03136447,"about_ca_system_score_gemma":0.05374442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940417,"about_ca_topic_score_gemma":0.9959607,"domain_scores_codex":[0.9988081,0.00008196639,0.00008758692,0.0001552966,0.000439178,0.0004278123],"domain_scores_gemma":[0.9973616,0.0001244612,0.0003979008,0.00004834907,0.001100032,0.000967654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000855343,0.00005795643,0.9880739,0.00006768489,0.00004125512,0.0002084114,0.0001971442,0.0001118222,0.00009712598,0.00009931014,0.004309409,0.006650497],"study_design_scores_gemma":[0.00002734909,0.00003075806,0.9966421,0.00009523092,0.00003986182,0.0002196033,0.000792165,0.0002828485,0.00004010525,0.00003874805,0.001780343,0.00001091074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571568,0.005412357,0.0003231856,0.003870395,0.0001389003,0.000200475,0.01515651,0.00005551915,0.01768604],"genre_scores_gemma":[0.9910741,0.001394212,0.0005091108,0.0009114777,0.00005308196,0.00003269434,0.003917019,0.00001022368,0.002098147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03136447,"threshold_uncertainty_score":0.2275662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003449222650121847,"score_gpt":0.1718486500780468,"score_spread":0.1683994274279249,"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."}}