{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004447317,0.0004272561,0.0003483596,0.0005339674,0.0003286382,0.0009547376,0.0001745084,0.000592856,0.001559855],"category_scores_gemma":[0.001353457,0.0003331911,0.0004845183,0.0006739547,0.0001396566,0.0002873276,0.0003607707,0.0007883418,0.000161664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999237,"about_ca_system_score_gemma":0.0002197375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664923,"about_ca_topic_score_gemma":0.006345259,"domain_scores_codex":[0.9998435,0.00004945761,0.00001277292,0.0000360367,0.00003581142,0.00002247622],"domain_scores_gemma":[0.9995717,0.00009999167,0.0001809012,0.0000323992,0.00004372439,0.00007124538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002496063,0.000275737,0.9777794,0.000120782,0.001054319,0.0001296274,0.0001197772,0.0001064467,0.003970293,0.0000907208,0.0003303424,0.01352637],"study_design_scores_gemma":[0.00001766028,0.0002283413,0.9981786,0.00002832061,0.0003932976,0.0001245279,0.00006899385,0.0002538816,0.0002347688,0.0001245712,0.0003403145,0.00000663854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860175,0.011023,0.0003041814,0.000319433,0.00008249018,0.00001150991,0.0006212468,0.00002371837,0.001596925],"genre_scores_gemma":[0.9952276,0.002752555,0.0005150142,0.0001635748,0.00004810201,0.000007752549,0.0002905014,0.000005695378,0.0009891682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004664923,"threshold_uncertainty_score":0.009275556,"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."}}