{"id":"W2551740633","doi":"10.1161/circgenetics.113.000400","title":"Lipoprotein(a) Levels, Genotype, and Incident Aortic Valve Stenosis","year":2014,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"Canadian Institutes of Health Research; Medical Research Council; National Institute for Health and Care Research; Cancer Research UK","keywords":"Hazard ratio; Odds ratio; Confidence interval; Lipoprotein(a); Medicine; Prospective cohort study; Internal medicine; Lipoprotein; Genotype; Aortic valve stenosis; Stenosis; Cardiology; Gastroenterology; Cholesterol; Genetics; Biology","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":[0.0002637354,0.0001983947,0.000449426,0.00009331966,0.0001121052,0.00004363368,0.00004447285,0.0001091185,0.00002634537],"category_scores_gemma":[0.0000876772,0.0001954654,0.0019873,0.0001607356,0.00005196312,0.00003921578,0.00005580375,0.00008164392,0.00005103977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009161876,"about_ca_system_score_gemma":0.00005326187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005473093,"about_ca_topic_score_gemma":8.020623e-7,"domain_scores_codex":[0.9984347,0.00009980109,0.0002477758,0.0004086453,0.000575718,0.0002333792],"domain_scores_gemma":[0.9987367,0.00002380195,0.00005864693,0.0007306337,0.0001990826,0.0002511464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002082795,0.00008824235,0.7766228,0.0001613967,0.006935037,0.000008018836,0.0001096717,0.002852092,0.0004186784,0.0001119069,0.00003028424,0.2126411],"study_design_scores_gemma":[0.001538212,0.00006630936,0.9893261,0.00003155657,0.004285004,0.0000309834,0.00002275291,0.001626055,0.0002275467,0.000218938,0.002432344,0.0001941558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721576,0.01482581,0.01127678,0.00003769625,0.0001821669,0.000668812,0.0000130955,0.00006419178,0.000773822],"genre_scores_gemma":[0.9981111,0.0004321237,0.0008109866,0.0001523499,0.00031368,0.00004279732,0.00006132868,0.00004523238,0.00003040709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2127034,"threshold_uncertainty_score":0.7970849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999029290193027,"score_gpt":0.280135269437262,"score_spread":0.2601449765353318,"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."}}