{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004654628,0.0001220971,0.0003649306,0.0002407706,0.0000437148,0.00001935713,0.00005867204,0.00006679747,0.00003510888],"category_scores_gemma":[0.0004345877,0.00008802828,0.00006836339,0.0001560337,0.00007802702,0.0001903916,0.0000273109,0.0002812278,0.000002034507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007374653,"about_ca_system_score_gemma":0.0000801814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007731103,"about_ca_topic_score_gemma":0.0001025685,"domain_scores_codex":[0.9991703,0.00004157726,0.0003397183,0.000113372,0.0001952556,0.0001398013],"domain_scores_gemma":[0.9992897,0.00002443712,0.000209703,0.0001138254,0.0001029127,0.0002594207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002018372,0.0001978635,0.9832446,0.00003330276,0.00009464263,0.00002521244,0.0001483968,4.134357e-7,0.006443481,0.0000247224,0.0001005899,0.009484928],"study_design_scores_gemma":[0.002678294,0.00004640871,0.9951969,0.00009110647,0.0001906133,0.0006568754,0.00001959822,0.00001668847,0.0003662034,0.0001183946,0.0005399711,0.00007891905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996788,0.002490195,0.00001096187,0.0002395754,0.0001978063,0.0001508659,0.000004782856,0.00000772219,0.0001100556],"genre_scores_gemma":[0.9982897,0.0006409572,0.0005331828,0.0001029268,0.0003878646,6.812544e-7,0.000002431829,0.000009519866,0.00003270941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01195232,"threshold_uncertainty_score":0.3589689,"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."}}