{"id":"W3181534998","doi":"10.20381/ruor-26202","title":"Concordance and Discordance Between Non-High-Density Lipoprotein Cholesterol and Apolipoprotein B as Cardiovascular Disease Risk Markers over the Full Spectrum of Hypertriglyceridemia: A Cross-sectional Analysis of Lipid Clinic Data","year":2021,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Hypertriglyceridemia; Concordance; Apolipoprotein B; Medicine; Cross-sectional study; Internal medicine; Cholesterol; High-density lipoprotein; Triglyceride; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006435471,0.0002036175,0.0003762051,0.0011472,0.0003994046,0.0009021363,0.000448503,0.0005286746,0.001193881],"category_scores_gemma":[0.01191576,0.0002895493,0.0004510233,0.0009289871,0.0004155057,0.0004242716,0.0007433068,0.0005060934,0.0004477572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339251,"about_ca_system_score_gemma":0.0004291755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483989,"about_ca_topic_score_gemma":0.005091756,"domain_scores_codex":[0.9961279,0.002062943,0.0003605729,0.0006086057,0.0005949526,0.0002451457],"domain_scores_gemma":[0.986238,0.006521936,0.002439553,0.001649412,0.002257006,0.0008941761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001211354,0.00002422804,0.9981434,0.000006829474,0.00009261738,0.00002036232,0.0003132029,0.00002550254,0.0002507901,0.00001978942,0.00006783183,0.0009142738],"study_design_scores_gemma":[0.000004353914,0.00009978443,0.9988272,0.000005680459,0.00004055081,0.0001262795,0.0003763628,0.0001928029,0.0001412502,0.00001704417,0.0001641098,0.000004691623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992647,0.0001397337,0.0001222667,0.00002522102,0.000006223831,0.000009293278,0.0001853642,0.000001872276,0.000245478],"genre_scores_gemma":[0.9990317,0.00006299503,0.0002184144,0.0000180254,0.000007240149,0.00001320606,0.0004216793,0.000002264131,0.0002244368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006435471,"threshold_uncertainty_score":0.03403443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372673606787538,"score_gpt":0.3320254475418988,"score_spread":0.294758086863145,"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."}}