{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004723132,0.0002574381,0.0001695386,0.000475367,0.0003289748,0.0004344867,0.0001481099,0.0002190946,0.0008455221],"category_scores_gemma":[0.0006357891,0.0001815392,0.0002259224,0.0005127019,0.0001602991,0.0001882645,0.0002461181,0.0002229627,0.0001138919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896691,"about_ca_system_score_gemma":0.0002038306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005887476,"about_ca_topic_score_gemma":0.006070277,"domain_scores_codex":[0.9998122,0.00006587469,0.00002472533,0.00003438939,0.00002754026,0.00003534931],"domain_scores_gemma":[0.9997144,0.00004911518,0.0001146297,0.00002069202,0.00003482961,0.00006631166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009177614,0.00002920245,0.9982693,0.000005838018,0.00002924819,0.0000755852,0.00007720517,0.000008207258,0.0004023686,0.0000139375,0.0000230858,0.0009742175],"study_design_scores_gemma":[0.000003593654,0.00005479499,0.9994011,0.000003226693,0.00001620569,0.000138564,0.0002044954,0.00005408151,0.000038479,0.00001312932,0.00007115582,0.000001247651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994969,0.0002354587,0.00002947676,0.00002171348,0.00000307154,0.000001585211,0.00003940355,7.805087e-7,0.0001715627],"genre_scores_gemma":[0.9996192,0.0001338339,0.00004762333,0.00001939229,0.000006848383,0.000002898386,0.00006617856,7.031072e-7,0.0001033077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005887476,"threshold_uncertainty_score":0.01170641,"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."}}