{"id":"W2410887805","doi":"10.1111/joim.12519","title":"Autotaxin interacts with lipoprotein(a) and oxidized phospholipids in predicting the risk of calcific aortic valve stenosis in patients with coronary artery disease","year":2016,"lang":"en","type":"article","venue":"Journal of Internal Medicine","topic":"Sphingolipid Metabolism and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; University of California, San Diego; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada","keywords":"Medicine; Autotaxin; Cardiology; Internal medicine; Stenosis; Coronary artery disease; Aortic valve; Aortic valve stenosis; Lysophosphatidic acid; Receptor","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":[0.00059566,0.0001505768,0.0003280604,0.0001271759,0.00002123622,0.00000708979,0.0001772702,0.00004280527,0.00001351751],"category_scores_gemma":[0.0005160526,0.00006395205,0.00005826045,0.00009310638,0.000180317,0.00002021082,0.00005142285,0.0002090927,1.621896e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002395113,"about_ca_system_score_gemma":0.00006599507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258739,"about_ca_topic_score_gemma":0.00003448824,"domain_scores_codex":[0.9986461,0.0001234557,0.0005847596,0.0001614637,0.0003122293,0.0001720032],"domain_scores_gemma":[0.9988304,0.00009872641,0.0006012992,0.0001670072,0.0001727084,0.000129856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006171173,0.0001196436,0.9549167,0.00002661398,0.0001732563,0.0000274542,0.0004303063,0.00002873122,0.03195472,0.000001792878,0.00002865631,0.006120909],"study_design_scores_gemma":[0.00778835,0.00190507,0.9778718,0.002420605,0.0001281828,0.00003867863,0.0002825351,0.00004221172,0.009352594,0.00002216016,0.00005537628,0.00009244897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976669,0.001144507,0.000602033,0.0002085683,0.0001822519,0.0001714682,0.000007713236,0.000001500801,0.00001506102],"genre_scores_gemma":[0.999159,0.0003038249,0.0001347963,0.000112531,0.0002495159,0.000005209843,0.000001477977,0.00001589743,0.00001771346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02295504,"threshold_uncertainty_score":0.2607889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004516904807950979,"score_gpt":0.2148212266906987,"score_spread":0.2103043218827477,"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."}}