{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002550117,0.0002268303,0.000784386,0.0001938056,0.0001624263,0.0001363194,0.0001815612,0.00007009453,0.00002266528],"category_scores_gemma":[0.0006540503,0.0001979183,0.0002686808,0.0005954415,0.00006432916,0.0002821997,0.0003390288,0.000308162,0.00007959111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101683,"about_ca_system_score_gemma":0.0001003186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05089253,"about_ca_topic_score_gemma":0.003457357,"domain_scores_codex":[0.9975806,0.0002643056,0.0003523787,0.0008360916,0.0005999015,0.0003666723],"domain_scores_gemma":[0.9985494,0.00005149805,0.00006592822,0.0009839231,0.00008872989,0.0002605191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001476431,0.0001946071,0.9185686,0.00006594654,0.001696918,0.0001834892,0.001134461,0.0002473137,0.000005631905,0.000001853363,0.0001053471,0.07764818],"study_design_scores_gemma":[0.004957525,0.0002714171,0.9885685,0.0002880732,0.001428106,0.00001447455,0.001196683,0.001087104,0.00002852182,0.00005398801,0.001913231,0.0001923144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878289,0.001003461,0.00004941839,0.00005076422,0.0001610862,0.008297351,0.00003558777,0.0001222738,0.002451222],"genre_scores_gemma":[0.9969886,0.0002956181,0.00006090183,0.00003436788,0.0002120213,0.001545755,0.00004659057,0.00005391552,0.0007622517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07745586,"threshold_uncertainty_score":0.9554276,"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."}}