{"id":"W2390126010","doi":"10.1186/s12986-016-0095-9","title":"Serum metabolic biomarkers distinguish metabolically healthy peripherally obese from unhealthy centrally obese individuals","year":2016,"lang":"en","type":"article","venue":"Nutrition & Metabolism","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; China Scholarship Council; National Natural Science Foundation of China","keywords":"Valine; Isoleucine; Leucine; Internal medicine; Endocrinology; Medicine; Waist; Obesity; Clinical nutrition; Physiology; Biochemistry; Amino acid; Chemistry","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":[0.0006367271,0.0004701978,0.0004683874,0.0008710656,0.0002306465,0.0005423437,0.0001982619,0.0004441504,0.0009242641],"category_scores_gemma":[0.001296093,0.0001842636,0.0002109653,0.0005506019,0.0002464959,0.0002451787,0.0003975654,0.0002983268,0.0001376577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149299,"about_ca_system_score_gemma":0.0001406442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003206512,"about_ca_topic_score_gemma":0.0004626503,"domain_scores_codex":[0.9997682,0.00005348597,0.00003818586,0.00006493311,0.00004204152,0.00003319613],"domain_scores_gemma":[0.9991809,0.0001498235,0.0004479183,0.00005573596,0.00007077688,0.0000949274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001743943,0.0001067637,0.9813508,0.00006266888,0.00007690876,0.0001871895,0.00004957257,0.00006613512,0.009932281,0.0000379665,0.00005443728,0.006331401],"study_design_scores_gemma":[0.00003521234,0.0005699662,0.9963533,0.00001769796,0.00008990207,0.0007316002,0.00006490842,0.0003128511,0.001576276,0.00006786449,0.0001752542,0.000005204574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985635,0.0007092624,0.0003444255,0.00001505278,0.000006250134,0.00001736521,0.0001047346,0.00000573107,0.0002337311],"genre_scores_gemma":[0.998798,0.0001331057,0.0007883551,0.00002262105,0.00000969666,0.00001708445,0.0001470073,0.000001833494,0.00008226321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009242641,"threshold_uncertainty_score":0.003367364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076392517243878,"score_gpt":0.2554620580720411,"score_spread":0.2446981328996024,"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."}}