{"id":"W2763903839","doi":"10.1016/j.jacl.2017.10.001","title":"Effect of atorvastatin, cholesterol ester transfer protein inhibition, and diabetes mellitus on circulating proprotein subtilisin kexin type 9 and lipoprotein(a) levels in patients at high cardiovascular risk","year":2017,"lang":"en","type":"article","venue":"Journal of clinical lipidology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut Universitaire de Cardiologie et de Pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Pfizer; European Commission; Ionis Pharmaceuticals; Agence Nationale de la Recherche","keywords":"Medicine; Kexin; Subtilisin; Atorvastatin; Type 2 Diabetes Mellitus; Proprotein convertase; Cholesterylester transfer protein; Internal medicine; PCSK9; Endocrinology; Diabetes mellitus; Cholesterol; Lipoprotein; Pharmacology; LDL receptor; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009493071,0.0006438326,0.002054555,0.0002740363,0.0004552345,0.000633263,0.0003431127,0.0008994567,0.002801097],"category_scores_gemma":[0.002073025,0.0004636436,0.001503075,0.0004407865,0.0005367274,0.0008072489,0.0004365462,0.001782246,0.0002952075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877736,"about_ca_system_score_gemma":0.0008207576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838385,"about_ca_topic_score_gemma":0.003658259,"domain_scores_codex":[0.9994861,0.0001737135,0.00006054833,0.0000670572,0.00004555984,0.0001670214],"domain_scores_gemma":[0.9987483,0.0004757473,0.0001224455,0.00006300383,0.00004530359,0.0005451422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.884555,0.01039978,0.05909222,0.0002378774,0.002396359,0.000513399,0.000181067,0.0005336344,0.008952459,0.0001562104,0.0006413196,0.03234068],"study_design_scores_gemma":[0.088273,0.2187805,0.6744496,0.00008553905,0.006113416,0.0008007563,0.0005719487,0.002889977,0.005250469,0.0004802181,0.002138807,0.0001658581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969013,0.001862349,0.00004640732,0.0001415421,0.00009044207,0.0000288035,0.0001085133,0.0000095805,0.0008110953],"genre_scores_gemma":[0.9978536,0.0008503284,0.0001408426,0.0001613558,0.0001427116,0.00003499736,0.0002180522,0.000003029149,0.0005949741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002801097,"threshold_uncertainty_score":0.009370565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003696499149357,"score_gpt":0.324779688996255,"score_spread":0.2947427240047615,"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."}}