{"id":"W2583998870","doi":"10.1089/chi.2016.0273","title":"Leptin and Leptin-to-Adiponectin Ratio Predict Adiposity Gain in Nonobese Children over a Six-Year Period","year":2017,"lang":"en","type":"article","venue":"Childhood Obesity","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Cardiologie et de Pneumologie de Québec","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Leptin; Adiponectin; Internal medicine; Medicine; Obesity; Endocrinology; Adipokine; Body mass index; Waist; Weight gain; Insulin resistance; Body weight","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":[0.0007254087,0.0003580823,0.0002764519,0.000726927,0.0002140563,0.0004930214,0.0003277636,0.0003957219,0.001421021],"category_scores_gemma":[0.00223304,0.0003195327,0.0003842718,0.0006099624,0.0002341916,0.0003759662,0.0002839419,0.0006367566,0.0003134945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981124,"about_ca_system_score_gemma":0.0001908679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245018,"about_ca_topic_score_gemma":0.0025486,"domain_scores_codex":[0.9997196,0.00005849011,0.0000374063,0.00006799702,0.00006655871,0.00005001379],"domain_scores_gemma":[0.9983121,0.0003528222,0.0008955696,0.00006707208,0.0001334305,0.0002390418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004124743,0.00001071298,0.9994487,0.000003179771,0.00001389919,0.00002724732,0.00001946968,0.00001177788,0.00007694563,0.000002033083,0.0000132649,0.0003315985],"study_design_scores_gemma":[0.000002597967,0.00005263132,0.9995685,0.000001840981,0.00001058482,0.0001798417,0.00005149583,0.00005909344,0.00003781086,0.0000029132,0.00003178902,8.941386e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994813,0.0002351169,0.00004983724,0.00001255967,0.000003619354,0.000003352876,0.000129058,0.000003949166,0.0000813481],"genre_scores_gemma":[0.9993083,0.0001240248,0.0001689364,0.000007726456,0.000005142847,0.000008402824,0.0002673384,0.000002241658,0.0001078819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00245018,"threshold_uncertainty_score":0.004871786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128537068655333,"score_gpt":0.2454600963395994,"score_spread":0.2341747256530461,"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."}}