{"id":"W2065740962","doi":"10.1155/2010/892081","title":"Adiponectin and Leptin Metabolic Biomarkers in Chinese Children and Adolescents","year":2010,"lang":"en","type":"article","venue":"Journal of Obesity","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research; Beijing Municipal Science and Technology Commission; National Natural Science Foundation of China","keywords":"Adiponectin; Medicine; Leptin; Internal medicine; Adipokine; Endocrinology; Bioinformatics; Pediatrics; Obesity; Insulin resistance","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":[0.0005744009,0.0003424222,0.0003970442,0.0009342199,0.000262911,0.0003339553,0.0001818649,0.0002323864,0.0005921012],"category_scores_gemma":[0.001086925,0.0001833138,0.0001826839,0.001063202,0.0002241901,0.0002785194,0.0001740487,0.0002610467,0.00008866972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742069,"about_ca_system_score_gemma":0.0005965647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008732848,"about_ca_topic_score_gemma":0.008892523,"domain_scores_codex":[0.9997882,0.00004939506,0.00002966819,0.00004053444,0.00005922543,0.00003298322],"domain_scores_gemma":[0.9995655,0.00006626373,0.0001903365,0.00001716587,0.00008017988,0.00008049139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009723486,0.00001724009,0.9958385,0.0000222414,0.00003014322,0.0001754355,0.00007254488,0.00002511456,0.0005913376,0.00002059089,0.00009432706,0.0030153],"study_design_scores_gemma":[0.00001038299,0.00009863544,0.9986708,0.000007134424,0.00003382416,0.0004914863,0.0001225864,0.0000845644,0.000198062,0.00001637023,0.000264179,0.000001917044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982908,0.001203698,0.00005060032,0.00005104949,0.000005708083,0.00000841587,0.0001813051,0.000002437775,0.0002058786],"genre_scores_gemma":[0.9987041,0.0005352816,0.0002817609,0.00004562024,0.00001364941,0.00002023392,0.0002662001,0.00000137952,0.0001317036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008732848,"threshold_uncertainty_score":0.01736403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004818765393795481,"score_gpt":0.2477657657051822,"score_spread":0.2429470003113867,"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."}}