{"id":"W4385257347","doi":"10.9778/cmajo.20210318","title":"Nonfasting remnant cholesterol and cardiovascular disease risk prediction in Albertans: a prospective cohort study","year":2023,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Alberta; Alberta Health Services","funders":"","keywords":"Medicine; Internal medicine; Cholesterol; Logistic regression; Odds ratio; Prospective cohort study; Retrospective cohort study; Cohort study; Cohort; Residual risk","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00114974,0.000652361,0.0004015344,0.001081391,0.001851732,0.001213494,0.001197118,0.0005279658,0.00122522],"category_scores_gemma":[0.001269432,0.0005434554,0.0006525944,0.002354054,0.0006409306,0.0003183168,0.0008983929,0.0007091356,0.0002793361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005415112,"about_ca_system_score_gemma":0.005842819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8649538,"about_ca_topic_score_gemma":0.8976272,"domain_scores_codex":[0.9993526,0.00009507066,0.00003482826,0.0001289267,0.0002176556,0.0001709789],"domain_scores_gemma":[0.9991297,0.00006013877,0.0001621959,0.0001088425,0.0002729155,0.0002661793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000232095,0.0001035498,0.9972513,0.000009381329,0.00007895634,0.0001417941,0.00024667,0.0000670863,0.00014743,0.0000336318,0.0003788154,0.001309273],"study_design_scores_gemma":[0.00003660507,0.00005464135,0.9989607,0.00001107474,0.00005412381,0.00008071441,0.0002717236,0.000196718,0.00002064692,0.00002255909,0.0002836924,0.000006742466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975694,0.0002309959,0.00009534244,0.00006631809,0.00000884738,0.00005306333,0.001244168,0.000007010718,0.0007249315],"genre_scores_gemma":[0.996698,0.0002619533,0.0003743616,0.00009711611,0.00001182389,0.00003855967,0.001751993,0.000003965026,0.0007621852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1350462,"threshold_uncertainty_score":0.2716831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742613367218699,"score_gpt":0.2644680139942919,"score_spread":0.2470418803221049,"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."}}