{"id":"W4303986501","doi":"10.1002/mnfr.202200145","title":"Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes","year":2022,"lang":"en","type":"article","venue":"Molecular Nutrition & Food Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Toronto; St. Michael's Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Instituto de Salud Carlos III; Canadian Institutes of Health Research; Generalitat Valenciana; National Heart, Lung, and Blood Institute; Ministerio de Ciencia, Innovación y Universidades; Centro Nacional de Investigaciones Cardiovasculares; Ministerio de Ciencia e Innovación; European Regional Development Fund; National Institutes of Health; Ministerio de Economía y Competitividad; Institució Catalana de Recerca i Estudis Avançats","keywords":"Metabolite; Type 2 diabetes; Hazard ratio; Population; Metabolomics; Internal medicine; Fish <Actinopterygii>; Proportional hazards model; Medicine; Diabetes mellitus; Food science; Chemistry; Biology; Confidence interval; Endocrinology; Environmental health; Bioinformatics; Fishery","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":[0.0005927857,0.0003515718,0.0003659616,0.0004593407,0.0001958184,0.0004747499,0.0001603479,0.0004020307,0.002293984],"category_scores_gemma":[0.001507637,0.000224964,0.0004662451,0.0008164452,0.0001461779,0.0002199693,0.0003318818,0.0004241038,0.0002619624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613627,"about_ca_system_score_gemma":0.0001360555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000847129,"about_ca_topic_score_gemma":0.0009990452,"domain_scores_codex":[0.9998047,0.00006664588,0.00002215593,0.00005321054,0.00003305099,0.00002025881],"domain_scores_gemma":[0.9991534,0.0001599109,0.0004857738,0.00006749373,0.00006093842,0.00007247322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004154708,0.00009756308,0.9817351,0.0001011872,0.0007536956,0.00006030254,0.0000312115,0.0002611095,0.006228672,0.00002403932,0.000209548,0.006342802],"study_design_scores_gemma":[0.00003464023,0.0002915065,0.9981464,0.00001119225,0.0001936899,0.0002040037,0.00002016537,0.0003211171,0.0005244339,0.00006170708,0.0001850094,0.000006205387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961313,0.001148721,0.0005377423,0.00005450296,0.00001227682,0.00002070716,0.001523955,0.0000190058,0.0005518149],"genre_scores_gemma":[0.997118,0.0002890817,0.0006996081,0.00006205408,0.00001650737,0.00002354418,0.001315302,0.000008441621,0.0004675321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002293984,"threshold_uncertainty_score":0.007674098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806181547494787,"score_gpt":0.2597542138075674,"score_spread":0.2416923983326195,"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."}}