{"id":"W4206565295","doi":"10.3389/fnut.2021.811244","title":"Trends in Obesity and Metabolic Status in Northern and Southern China Between 2012 and 2020","year":2022,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Birth, Development, and Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"Xiangya Hospital, Central South University; Natural Science Foundation of Hunan Province; Central South University; National Natural Science Foundation of China","keywords":"Obesity; China; Environmental health; Medicine; Geography; Internal medicine","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":[0.0003244735,0.0001021525,0.0003284215,0.0004460416,0.00007131607,0.000008810048,0.00002526172,0.00006390904,0.0000188355],"category_scores_gemma":[0.000008652437,0.0001088537,0.00001318129,0.0003498661,0.00004587334,0.00008169807,0.00004475817,0.0003180483,3.983135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214025,"about_ca_system_score_gemma":0.00004158034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008204125,"about_ca_topic_score_gemma":0.003149496,"domain_scores_codex":[0.9990584,0.0001021684,0.0002198559,0.0002388787,0.0001316396,0.0002490417],"domain_scores_gemma":[0.9997522,0.000009997668,0.00004800504,0.00007247267,0.000007590562,0.0001096878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001310978,0.0001490844,0.9710908,0.000196719,0.000009433887,0.00001724985,0.003487208,3.76845e-7,0.00001587623,0.00005017943,0.0007981122,0.02405387],"study_design_scores_gemma":[0.00415334,0.00009897436,0.9868121,0.00007397802,0.00001669078,0.000008626432,0.002063679,0.00007267641,0.000007459628,0.004602158,0.00198779,0.0001025949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775799,0.02097437,0.00003490164,0.000788582,0.00009070189,0.0002673158,0.00007160076,0.00001179778,0.0001808319],"genre_scores_gemma":[0.9411476,0.0569652,0.001474674,0.0001082027,0.00006400856,0.00004466492,0.000139916,0.00001260644,0.00004310211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03643227,"threshold_uncertainty_score":0.4438924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071237952681137,"score_gpt":0.2497134982320817,"score_spread":0.2390011187052703,"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."}}