{"id":"W2585485826","doi":"10.1016/j.cjca.2015.07.730","title":"LIPOPROTEIN(A) INTERACTIONS WITH LOW-DENSITY LIPOPROTEIN CHOLESTEROL AND OTHER CARDIOVASCULAR RISK FACTORS: A CASE-ONLY STUDY OF PREMATURE ACS","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Lipoprotein(a); Dyslipidemia; Internal medicine; Epidemiology; Population; Lipoprotein; Logistic regression; Risk factor; Prospective cohort study; Cohort study; Percentile; Cholesterol; Endocrinology; Disease; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467823,0.001218782,0.001689868,0.00251323,0.003802391,0.001960625,0.001383592,0.002762709,0.003912485],"category_scores_gemma":[0.008423883,0.002070209,0.001938553,0.001952587,0.001811059,0.001778854,0.001669551,0.002588073,0.0009669851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884573,"about_ca_system_score_gemma":0.001222094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00698352,"about_ca_topic_score_gemma":0.00569488,"domain_scores_codex":[0.997929,0.0006818851,0.0002890325,0.0004257634,0.0002978969,0.0003763828],"domain_scores_gemma":[0.9945076,0.002018715,0.000949024,0.001110226,0.000510673,0.0009038533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000894836,0.001543158,0.9547322,0.00005748978,0.0002578418,0.03888947,0.001164229,0.00003697993,0.0005536898,0.0001633589,0.0002657875,0.001440907],"study_design_scores_gemma":[0.0001879664,0.002708091,0.862009,0.00005814432,0.0004572084,0.1290499,0.003711549,0.0004634236,0.0002708617,0.0003966889,0.0005951611,0.00009203502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987134,0.0002679095,0.0001294724,0.00006283254,0.00001547804,0.00002715285,0.0001158707,0.000004777192,0.0006630957],"genre_scores_gemma":[0.9990817,0.0002079955,0.0001209032,0.00008996104,0.00006082727,0.00001881976,0.0001703756,0.000006923594,0.0002423605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00698352,"threshold_uncertainty_score":0.01388574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183152210141225,"score_gpt":0.2505932521439647,"score_spread":0.2287617300425525,"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."}}