{"id":"W2808890669","doi":"10.1002/osp4.290","title":"Association of plasma nitrite levels with obesity and metabolic syndrome in the Old Order Amish","year":2018,"lang":"en","type":"article","venue":"Obesity Science & Practice","topic":"Nitric Oxide and Endothelin Effects","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Military and Veteran Health Research","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Nutrition Obesity Research Center, University of North Carolina","keywords":"Medicine; Overweight; Internal medicine; Body mass index; Obesity; Metabolic syndrome; Endocrinology; Nitrite; Nitrate; 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":[0.004581845,0.000109687,0.0002530496,0.0001708355,0.000211308,0.0000651252,0.0002054935,0.00006378406,0.00002399093],"category_scores_gemma":[0.005622886,0.00007125536,0.00002017377,0.00176718,0.0003761453,0.0009921081,0.00005598168,0.0002717258,0.00003807906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000068156,"about_ca_system_score_gemma":0.00024862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007592477,"about_ca_topic_score_gemma":0.0001935784,"domain_scores_codex":[0.9981719,0.0002029409,0.0001795425,0.0002893877,0.0008537765,0.0003024785],"domain_scores_gemma":[0.9978145,0.001028737,0.0002460048,0.0003106704,0.0005146358,0.00008546271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002905886,0.0008384227,0.9786528,0.00006664433,0.00006477719,0.0001242511,0.002761602,0.000002994903,0.01378267,0.001166307,0.0001946522,0.002054246],"study_design_scores_gemma":[0.001201985,0.0004672527,0.9863659,0.00005877715,0.0002195637,0.0005480823,0.0006523415,0.0001977302,0.007336672,0.00008758931,0.002761769,0.0001023404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920228,0.00008111301,0.00008390512,0.002545346,0.00006684701,0.0003537253,0.000003237167,0.00001676848,0.004826308],"genre_scores_gemma":[0.9953369,0.00005945494,0.002672954,0.001118385,0.00005525333,0.000005684054,6.253265e-7,0.000005987488,0.0007447765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007713054,"threshold_uncertainty_score":0.6731526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409397129831689,"score_gpt":0.2823179039485268,"score_spread":0.2682239326502099,"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."}}