{"id":"W2885346758","doi":"10.1136/gutjnl-2017-315940","title":"Association of dietary macronutrient composition and non-alcoholic fatty liver disease in an ageing population: the Rotterdam Study","year":2018,"lang":"en","type":"article","venue":"Gut","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"Erasmus+; Wageningen University and Research; Erasmus Universiteit Rotterdam","keywords":"Medicine; Fatty liver; Overweight; Body mass index; Internal medicine; Population; Metabolic syndrome; Obesity; Confounding; Rotterdam Study; Logistic regression; Cohort study; Physiology; Disease; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001892058,0.0007797393,0.001032145,0.0006275866,0.0004490641,0.001054672,0.0005217825,0.0009233538,0.002537374],"category_scores_gemma":[0.002905721,0.0006783223,0.0009012119,0.00134859,0.000375085,0.0005255137,0.0007538577,0.000622111,0.0006422495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917561,"about_ca_system_score_gemma":0.0001832264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006243175,"about_ca_topic_score_gemma":0.006883132,"domain_scores_codex":[0.9986497,0.0005539939,0.0001711029,0.0003721681,0.0001310283,0.0001220236],"domain_scores_gemma":[0.9977659,0.000333024,0.001106667,0.0003436612,0.0002011964,0.0002494751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007675879,0.00004120448,0.9953991,0.00006730126,0.0006641935,0.0001701332,0.0001718413,0.0001006027,0.0003888105,0.00002846447,0.0005001589,0.001700694],"study_design_scores_gemma":[0.00005114771,0.0001570873,0.9985342,0.00002042825,0.0002578289,0.0002478722,0.00008302092,0.0001411784,0.00002786778,0.00002725974,0.0004459888,0.000006064254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945629,0.003139232,0.0002313102,0.0001537658,0.00003966811,0.00002539336,0.001185689,0.00001314072,0.0006487513],"genre_scores_gemma":[0.997719,0.0007888403,0.0002663904,0.00007272618,0.00006618018,0.00003614091,0.0006039334,0.000008307455,0.0004385113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006243175,"threshold_uncertainty_score":0.01241368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943249130541409,"score_gpt":0.2944900832773709,"score_spread":0.2750575919719568,"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."}}