{"id":"W2890213068","doi":"10.1111/acer.13881","title":"Dietary Macronutrient Composition Determines the Contribution of <scp>DGAT</scp>1 to Alcoholic Steatosis","year":2018,"lang":"en","type":"article","venue":"Alcoholism Clinical and Experimental Research","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute of Nutrition, Metabolism and Diabetes; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Alcohol Abuse and Alcoholism; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Steatosis; Internal medicine; Fatty liver; Endocrinology; Triglyceride; Alcoholic liver disease; Chemistry; Lipid metabolism; Alcoholic fatty liver; Alcohol; Context (archaeology); Lipid droplet; Metabolism; Biochemistry; Biology; Cholesterol; Medicine; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315592,0.0001786068,0.0004847052,0.0001816275,0.0005076317,0.00004257196,0.0001834507,0.0001882621,0.00009275521],"category_scores_gemma":[0.0007588523,0.0001214494,0.000145054,0.0003959535,0.00152441,0.00008684507,0.000339533,0.0004969413,0.0002677435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006400247,"about_ca_system_score_gemma":0.0001042917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001536454,"about_ca_topic_score_gemma":0.00001061356,"domain_scores_codex":[0.9968743,0.0005878548,0.0007059738,0.0004767907,0.0007531128,0.0006019609],"domain_scores_gemma":[0.9966081,0.001717112,0.00009856864,0.0004307189,0.0005273766,0.0006180622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005077828,0.004193109,0.1881075,0.0003217641,0.0004548751,0.00009021129,0.006524761,8.782632e-7,0.6534683,0.003074636,0.101605,0.03708113],"study_design_scores_gemma":[0.007085499,0.008326598,0.3474646,0.0004786338,0.0001004884,0.000110069,0.001298576,0.0004564797,0.5768719,0.0002124435,0.0574397,0.000154928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906386,0.002809784,0.00001402072,0.003889759,0.0003088566,0.001433193,0.00001273531,0.00003573389,0.0008572855],"genre_scores_gemma":[0.9936677,0.0006889562,0.0001367941,0.004298002,0.0006897079,0.0001508646,0.00002986679,0.00002068926,0.0003174322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1593571,"threshold_uncertainty_score":0.5616753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2764549263652754,"score_gpt":0.536857237240902,"score_spread":0.2604023108756266,"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."}}