{"id":"W4213030116","doi":"10.1016/j.jacc.2021.11.055","title":"Repeat Measures of Lipoprotein(a) Molar Concentration and Cardiovascular Risk","year":2022,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Medicine; Lipoprotein; Internal medicine; Molar; Lipoprotein(a); Coronary artery disease; Proportional hazards model; Cholesterol; Cardiology; Endocrinology; Dentistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003055868,0.0001283741,0.001546858,0.00008542015,0.0001492034,0.000001935183,0.0002086262,0.00003911317,0.000006971502],"category_scores_gemma":[0.0004351566,0.00008834293,0.001461099,0.0004014679,0.0004445029,0.00003833078,0.0001388488,0.0004710097,1.065053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003492,"about_ca_system_score_gemma":0.0004232556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002124042,"about_ca_topic_score_gemma":0.00000210039,"domain_scores_codex":[0.9965572,0.001450355,0.000647323,0.0001682749,0.0009906845,0.000186151],"domain_scores_gemma":[0.9976797,0.00007828702,0.001055402,0.0006831662,0.0004021733,0.0001012553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01201836,0.000411557,0.5217539,0.0008922751,0.05126678,0.002112969,0.001000315,0.0480066,0.04873127,0.00105891,0.009393618,0.3033535],"study_design_scores_gemma":[0.01308484,0.01427888,0.680748,0.0002790246,0.01061099,0.04183695,0.008707563,0.0002528664,0.02569746,0.001033578,0.2028543,0.0006155458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833016,0.01378024,0.0009934885,0.0005270034,0.0003142176,0.0005040003,0.00009218642,0.000004728332,0.0004824771],"genre_scores_gemma":[0.9965584,0.002314445,0.0006066178,0.0001050226,0.0003607204,0.00001176811,7.935841e-7,0.00001707641,0.00002512234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027379,"threshold_uncertainty_score":0.360252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421255454442348,"score_gpt":0.2395690101237916,"score_spread":0.2253564555793681,"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."}}