{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009644244,0.0003173345,0.002319611,0.0001912515,0.0001756434,0.00003722721,0.0001424193,0.0004530221,0.00001548956],"category_scores_gemma":[0.005669186,0.0002259772,0.0006160235,0.0001094589,0.000452076,0.0002062513,0.0001085932,0.00103957,0.000003280288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006634415,"about_ca_system_score_gemma":0.0001417597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199066,"about_ca_topic_score_gemma":0.00003270947,"domain_scores_codex":[0.9943825,0.002030794,0.001909471,0.0004892921,0.0007858754,0.0004020401],"domain_scores_gemma":[0.9969244,0.0004626141,0.0009515597,0.0008275404,0.0005033407,0.0003305344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003292676,0.0003298809,0.7165627,0.001121744,0.0008803083,0.00004238653,0.000114059,0.0000173696,0.001167699,0.00001988323,0.00001029442,0.2764409],"study_design_scores_gemma":[0.0167986,0.01264991,0.9540064,0.001319999,0.0004967299,0.00004914813,0.000007127185,0.00001953144,0.01401142,0.0001281067,0.000321992,0.000190983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959219,0.001148146,0.00006195694,0.0002956863,0.0005345736,0.001987771,0.00001643768,0.000008358046,0.00002516449],"genre_scores_gemma":[0.9980504,0.0002686347,0.0004205628,0.0001093122,0.001057904,0.00003157896,0.000004473807,0.00004356572,0.00001355114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2762499,"threshold_uncertainty_score":0.9215084,"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."}}