{"id":"W2011893322","doi":"10.1016/s0021-9150(01)00579-2","title":"HDL particle size: a marker of the gender difference in the metabolic risk profile","year":2002,"lang":"en","type":"article","venue":"Atherosclerosis","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Triglyceride; Internal medicine; Endocrinology; Waist; Lipoprotein; Metabolic syndrome; Lipid profile; Risk factor; Cholesterol; Coronary heart disease; High-density lipoprotein; Particle size; Medicine; Biology; Obesity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0005227253,0.0002820763,0.0002989681,0.0005776164,0.0001863103,0.0004875919,0.00021567,0.0004831486,0.002369014],"category_scores_gemma":[0.001681675,0.0002134447,0.0002491522,0.0004547873,0.0002337595,0.0002496723,0.0002326163,0.0005577158,0.0003290667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352613,"about_ca_system_score_gemma":0.0001906339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008644319,"about_ca_topic_score_gemma":0.0007861617,"domain_scores_codex":[0.9998142,0.00005925227,0.00001400221,0.00004228468,0.00004819285,0.00002212584],"domain_scores_gemma":[0.9991471,0.0002323223,0.0003268512,0.0001098441,0.00005196597,0.0001319671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002503663,0.00009313163,0.9616278,0.00004096208,0.0002265823,0.0004232958,0.0002000236,0.00009083589,0.01949143,0.0004603714,0.0004067963,0.01443507],"study_design_scores_gemma":[0.00001471312,0.0001813035,0.9967734,0.00000704795,0.0000655399,0.0009839708,0.00005198178,0.0001920008,0.001103351,0.0002637955,0.0003571663,0.000005743609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929281,0.002491595,0.0007718401,0.0003925754,0.00008319739,0.000009561255,0.0006773347,0.00001899761,0.002626813],"genre_scores_gemma":[0.9981977,0.000380326,0.0002725156,0.0001057469,0.00008313046,0.000004788141,0.0002082395,0.000007845615,0.0007396877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002369014,"threshold_uncertainty_score":0.007925153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304163682045212,"score_gpt":0.2236884787272748,"score_spread":0.1906468419068227,"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."}}