{"id":"W3116519236","doi":"10.1093/jn/nxaa374","title":"Walnut Consumption, Plasma Metabolomics, and Risk of Type 2 Diabetes and Cardiovascular Disease","year":2020,"lang":"en","type":"article","venue":"Journal of Nutrition","topic":"Nuts composition and effects","field":"Nursing","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Ministerio de Economía y Competitividad; Institució Catalana de Recerca i Estudis Avançats; European Regional Development Fund; Deutsche Forschungsgemeinschaft; Generalitat Valenciana; American Diabetes Association","keywords":"Type 2 diabetes; Disease; Medicine; Diabetes mellitus; Metabolomics; Internal medicine; Endocrinology; Physiology; Bioinformatics; Biology","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":[0.0002012489,0.00006691461,0.0002469844,0.00006630139,0.00004633993,0.00002202649,0.00003215183,0.00003273859,0.000008423506],"category_scores_gemma":[0.0001481398,0.00006049961,0.0001098737,0.00006473037,0.00005386567,0.0001507776,0.00001168947,0.0001164567,0.000001943595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009311476,"about_ca_system_score_gemma":0.000005814546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001571301,"about_ca_topic_score_gemma":1.189461e-7,"domain_scores_codex":[0.9993433,0.0001457096,0.0002088282,0.00008258854,0.0001491142,0.00007040118],"domain_scores_gemma":[0.9994162,0.00008301103,0.0001523228,0.00005893901,0.0001290463,0.0001604556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01228805,0.001697716,0.6141202,0.006348792,0.005169522,0.0001472229,0.002363439,0.001407488,0.2516465,0.0003129253,0.02870897,0.07578915],"study_design_scores_gemma":[0.03048288,0.005137393,0.7031968,0.002418496,0.01112867,0.000258423,0.0005660685,0.03333724,0.1597741,0.004824533,0.04790315,0.0009722066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799522,0.01850492,0.000069566,0.001103391,0.0002447318,0.00009603937,0.00001678671,0.000007805024,0.00000462032],"genre_scores_gemma":[0.9931624,0.005650671,0.0008545935,0.0001121678,0.0002074854,8.010463e-7,0.000003881119,0.000007473121,5.283883e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09187239,"threshold_uncertainty_score":0.2467102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486906986534633,"score_gpt":0.2279630492513121,"score_spread":0.2130939793859657,"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."}}