{"id":"W4307925733","doi":"10.3390/metabo12111051","title":"The Association of Peptide Hormones with Glycemia, Dyslipidemia, and Obesity in Lebanese Individuals","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Zayed University; American University of Beirut","keywords":"Internal medicine; Endocrinology; Ghrelin; Leptin; Insulin resistance; Peptide YY; Dyslipidemia; Insulin; Obesity; Hormone; Homeostatic model assessment; Medicine; Neuropeptide","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":[0.001019893,0.0000900704,0.0001910125,0.00008371465,0.0003464395,0.00004220566,0.0001943594,0.00002877493,0.00002846547],"category_scores_gemma":[0.0005953393,0.00006337104,0.00003109999,0.0004311596,0.00008373564,0.0001614692,0.0001429504,0.0001706011,0.000003024949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004296906,"about_ca_system_score_gemma":0.00003363141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007241598,"about_ca_topic_score_gemma":0.00006139479,"domain_scores_codex":[0.9985102,0.0003695994,0.00023173,0.0002161895,0.0004748021,0.0001974624],"domain_scores_gemma":[0.9986113,0.0009086645,0.0002359985,0.0001795092,0.00003134412,0.00003320389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005653858,0.00006539711,0.955887,0.00000882721,0.000006851368,0.000001866858,0.0006235691,0.0001801132,0.03503902,0.007157765,0.0002295852,0.0007434772],"study_design_scores_gemma":[0.0005198583,0.00006097353,0.8955711,0.000004352587,0.00001545171,0.000003681584,0.0002404171,0.0001174275,0.06738506,0.001819125,0.03416558,0.00009693792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973543,0.0006273811,0.000005422758,0.0007015713,0.00005994779,0.0001758216,0.00002524676,0.00001807463,0.001032277],"genre_scores_gemma":[0.9978486,0.0001569587,0.0001115239,0.0001667979,0.00002804996,0.00002637456,0.000002688787,0.000007187592,0.001651761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06031585,"threshold_uncertainty_score":0.2664568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056169378006617,"score_gpt":0.2273703644782176,"score_spread":0.2168086706981515,"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."}}