{"id":"W4312225867","doi":"10.1016/j.cjca.2022.12.025","title":"Comparison of Three Methods for LDLC Calculation for Cardiovascular Disease Risk Categorisation in Three Distinct Patient Populations","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Chicoutimi; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Dyslipidemia; Population; Familial hypercholesterolemia; Atherosclerotic cardiovascular disease; Demography; Internal medicine; Disease; Cholesterol; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02394015,0.001482276,0.003532214,0.00292361,0.000906767,0.00334248,0.002905805,0.002353386,0.001705861],"category_scores_gemma":[0.05129193,0.0009783752,0.002710358,0.00184611,0.001086901,0.001505614,0.002204481,0.002385459,0.0006231528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567129,"about_ca_system_score_gemma":0.001615233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009756551,"about_ca_topic_score_gemma":0.009599251,"domain_scores_codex":[0.9816719,0.01045638,0.001407582,0.001757819,0.004097758,0.0006086082],"domain_scores_gemma":[0.9570765,0.03084842,0.002044163,0.002451477,0.006642514,0.0009369081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08189865,0.001869631,0.6932514,0.001298355,0.007721241,0.0002787065,0.004528981,0.004813839,0.004922014,0.001866321,0.003132644,0.1944183],"study_design_scores_gemma":[0.007527526,0.01133855,0.890349,0.000406074,0.004920874,0.001291894,0.003452213,0.0671446,0.006650844,0.003206092,0.003200723,0.0005116848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503728,0.004254275,0.03955916,0.0007436614,0.0003517888,0.0007586532,0.001389036,0.0004003944,0.002170292],"genre_scores_gemma":[0.9411982,0.001293091,0.05344818,0.0004090538,0.0001363183,0.0008992356,0.001436374,0.0001916411,0.000987919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02394015,"threshold_uncertainty_score":0.1266092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07616571886060036,"score_gpt":0.3580563236878518,"score_spread":0.2818906048272515,"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."}}