{"id":"W4417274732","doi":"10.36660/abc.20250640","title":"Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose – 2025","year":2025,"lang":"en","type":"article","venue":"Arquivos Brasileiros de Cardiologia","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Triglycerides blood; Ldl cholesterol","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":[0.001842733,0.0002889539,0.0003974802,0.002910775,0.000747626,0.0008625034,0.0002913534,0.0006199636,0.005201573],"category_scores_gemma":[0.00432179,0.0003253297,0.0007416667,0.002699278,0.0004988929,0.0004025433,0.0005505132,0.0008659125,0.0004609586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907639,"about_ca_system_score_gemma":0.007256925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2577555,"about_ca_topic_score_gemma":0.332746,"domain_scores_codex":[0.9991761,0.0002035772,0.0001332165,0.00009922137,0.0002318083,0.0001561467],"domain_scores_gemma":[0.9975638,0.0003657688,0.0005591373,0.0001384335,0.0007597366,0.0006130431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002929328,0.0002031561,0.7801765,0.00226,0.0006218394,0.0009749344,0.002955683,0.0003271397,0.001629926,0.01684566,0.02032815,0.1733841],"study_design_scores_gemma":[0.00002814728,0.00009956016,0.9239945,0.001650369,0.000345243,0.0008142096,0.001278959,0.0001936809,0.0002533248,0.001187535,0.07012447,0.00003006444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4913724,0.2745207,0.002276282,0.0475832,0.002166002,0.0004284908,0.02655897,0.0003091842,0.1547847],"genre_scores_gemma":[0.9394211,0.04485926,0.002820078,0.002195148,0.0003275367,0.0001246927,0.003582151,0.00003277974,0.006637309],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2577555,"threshold_uncertainty_score":0.5125103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0495732403102179,"score_gpt":0.3900877598234986,"score_spread":0.3405145195132807,"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."}}