{"id":"W4399767487","doi":"10.1161/circimaging.123.016372","title":"Identifying People at High Risk for Severe Aortic Stenosis: Aortic Valve Calcium Versus Lipoprotein(a) and Low-Density Lipoprotein Cholesterol","year":2024,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University Health Centre","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute","keywords":"Medicine; Hazard ratio; Internal medicine; Stenosis; Cardiology; Proportional hazards model; Lipoprotein(a); Aortic valve; Lipoprotein; Aortic valve stenosis; Low-density lipoprotein; Cholesterol; Gastroenterology; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001606183,0.0003724147,0.0004580342,0.0006422639,0.0003180317,0.0006870391,0.0003074929,0.0007119611,0.0008215957],"category_scores_gemma":[0.003493813,0.0002676127,0.0006325958,0.0008351901,0.0002834206,0.0003949248,0.000496127,0.0006640257,0.0001407625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451439,"about_ca_system_score_gemma":0.0002752151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150098,"about_ca_topic_score_gemma":0.004224134,"domain_scores_codex":[0.999393,0.0002888179,0.00005714742,0.0001044165,0.00008877634,0.00006782639],"domain_scores_gemma":[0.9982193,0.0006492876,0.0006031663,0.00008290962,0.0001530332,0.000292234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002352391,0.00002436056,0.9981536,0.00001597642,0.00005952759,0.00002030277,0.00002752419,0.00003788765,0.00008407836,0.000009937819,0.00004241707,0.001289134],"study_design_scores_gemma":[0.00003087578,0.0001964818,0.9982628,0.00001597066,0.0001509164,0.0001622884,0.0001076355,0.0007745641,0.00008518064,0.00008583259,0.0001220572,0.000005433817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986759,0.0006268047,0.0001391174,0.0001431565,0.000008771754,0.000007598506,0.000103978,0.00000289772,0.0002917185],"genre_scores_gemma":[0.9992913,0.0002143656,0.0002343778,0.00004133701,0.00002980942,0.000004144676,0.0001087724,7.86461e-7,0.00007502468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002150098,"threshold_uncertainty_score":0.008494377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802092549355284,"score_gpt":0.2972005235587687,"score_spread":0.2791795980652159,"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."}}