{"id":"W2106632075","doi":"10.1053/meta.2003.50007","title":"Impact of abdominal visceral fat, growth hormone, fitness, and insulin on lipids and lipoproteins in older adults","year":2003,"lang":"en","type":"article","venue":"Metabolism","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"National Center for Research Resources; National Institute on Aging","keywords":"Internal medicine; Endocrinology; Apolipoprotein B; Very low-density lipoprotein; Chemistry; Cholesterol; Lipoprotein; Insulin; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002854264,0.0002982056,0.0007214996,0.0003366979,0.00004616557,0.0000203996,0.0000671712,0.0001571389,0.00007545409],"category_scores_gemma":[0.0003530235,0.0002244031,0.0001240906,0.0003503765,0.0001626826,0.0001612508,0.0000355956,0.0002644711,0.00000580032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001655329,"about_ca_system_score_gemma":0.00009527778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153547,"about_ca_topic_score_gemma":0.00003019158,"domain_scores_codex":[0.9984267,0.0001074821,0.0004011253,0.0004016589,0.0002874383,0.0003755831],"domain_scores_gemma":[0.9992232,0.00005007192,0.0001114989,0.0002898293,0.00008475277,0.0002406533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01537124,0.006822349,0.6114125,0.001450773,0.0006896142,0.0001472143,0.01566803,0.00002341403,0.03814891,0.03420065,0.004908681,0.2711566],"study_design_scores_gemma":[0.01322863,0.0003393506,0.9821185,0.0001105961,0.0001171513,0.00003181751,0.0001913409,0.00005348503,0.001837069,0.0004887076,0.001247905,0.0002354037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803385,0.01702612,0.00002615373,0.0001246357,0.0001826546,0.0006305552,0.00002645787,0.00002368701,0.001621251],"genre_scores_gemma":[0.9955949,0.003087739,0.0006921827,0.000200198,0.0002374036,0.00003506726,0.00001052397,0.00003399255,0.0001079799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.370706,"threshold_uncertainty_score":0.9150892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006425836768328578,"score_gpt":0.2489064747884093,"score_spread":0.2424806380200807,"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."}}