{"id":"W4408964957","doi":"10.1016/s0735-1097(25)03163-8","title":"ALLIED HEALTH PROFESSIONAL OPTIMIZATION OF DYSLIPIDEMIA TREATMENT: TOWARD OPTIMAL CARDIOVASCULAR RISK REDUCTION","year":2025,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Rheumatology Association","funders":"","keywords":"Medicine; Dyslipidemia; Reduction (mathematics); Intensive care medicine; Environmental health; Internal medicine; Disease","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":[0.001044424,0.0003581137,0.0004855391,0.0006045889,0.0008019094,0.002109051,0.0003999492,0.0008938318,0.006559078],"category_scores_gemma":[0.004355005,0.000113101,0.0003366584,0.0004757704,0.0002387854,0.0005179664,0.0009533315,0.001779199,0.0008880199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132451,"about_ca_system_score_gemma":0.005615335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006518351,"about_ca_topic_score_gemma":0.01550002,"domain_scores_codex":[0.9990066,0.0004212597,0.00006044032,0.00009568762,0.0002884546,0.0001275497],"domain_scores_gemma":[0.998906,0.000235036,0.000185994,0.00003861747,0.0003285265,0.0003057847],"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":[0.0005904971,0.005080003,0.0506468,0.0006554353,0.0003560819,0.0003205931,0.0004649258,0.001081344,0.002204565,0.009290528,0.05929536,0.8700138],"study_design_scores_gemma":[0.001982844,0.002542769,0.5396878,0.005571917,0.002105796,0.001902151,0.005766743,0.01622556,0.004647913,0.05572262,0.3637225,0.0001213451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2311621,0.07645017,0.02796749,0.456304,0.003755182,0.0003564524,0.0006234684,0.0005261945,0.2028551],"genre_scores_gemma":[0.8491061,0.04930601,0.03152284,0.04707193,0.007921712,0.0002074842,0.0003421992,0.00008357648,0.01443813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006559078,"threshold_uncertainty_score":0.02194232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394077503018849,"score_gpt":0.2925727280878712,"score_spread":0.2786319530576827,"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."}}