{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006959308,0.0002967086,0.0002301327,0.001009404,0.0002911604,0.0003689201,0.0002818757,0.0002466541,0.0009662723],"category_scores_gemma":[0.0005246348,0.0001697294,0.0003858712,0.001434903,0.0002226636,0.0003507225,0.0003777803,0.000231815,0.000130092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008017913,"about_ca_system_score_gemma":0.001022349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05827205,"about_ca_topic_score_gemma":0.07697606,"domain_scores_codex":[0.9997696,0.00002900441,0.00002458471,0.00005700438,0.00006408686,0.00005565983],"domain_scores_gemma":[0.9994113,0.000025686,0.000238147,0.00002618377,0.0001437986,0.0001547809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007006892,0.00001335218,0.9966586,0.00003284193,0.00005315349,0.0000648018,0.0001980675,0.00006281632,0.0003816682,0.00002868767,0.0002293161,0.002206682],"study_design_scores_gemma":[0.000001293626,0.00001484697,0.9995674,0.00000324435,0.00001203311,0.0000320205,0.0001273417,0.00006584626,0.00002051381,0.000004203879,0.0001494302,0.000001681518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976634,0.0004404248,0.00005234557,0.00009636652,0.000007892778,0.000007677526,0.001198007,0.00001025059,0.0005237943],"genre_scores_gemma":[0.9977571,0.0002661827,0.00009434311,0.00003764976,0.00001193036,0.00001523669,0.001503469,0.000001821755,0.0003122554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05827205,"threshold_uncertainty_score":0.1158658,"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."}}