{"id":"W4407010149","doi":"10.1001/jamanetworkopen.2024.57341","title":"Ultraprocessed Food Consumption and Obesity Development in Canadian Children","year":2025,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hospital for Sick Children; University of British Columbia; University of Manitoba; University of Alberta; SickKids Foundation; BC Children's Hospital; University of Toronto","funders":"Faculty of Medicine and Health, University of Sydney; Hospital for Sick Children; University of Alberta; University of Toronto; BC Children's Hospital; McMaster University","keywords":"Medicine; Anthropometry; Body mass index; Obesity; Waist; Demography; Population; Cohort; Childhood obesity; Prospective cohort study; Environmental health; Pediatrics; Overweight; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004198534,0.00009161843,0.0001956957,0.00008750051,0.000125231,0.0000983152,0.0001212565,0.00007989335,0.00005273561],"category_scores_gemma":[0.00003559205,0.00008879049,0.00001191381,0.0002285988,0.00002159596,0.0000784756,0.0000919741,0.0001614009,0.000008638428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168846,"about_ca_system_score_gemma":0.0005774133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04005644,"about_ca_topic_score_gemma":0.5594038,"domain_scores_codex":[0.9992233,0.00002286228,0.0001870344,0.0002166137,0.00006206373,0.0002881217],"domain_scores_gemma":[0.9996208,0.00003331441,0.00002697653,0.0001239037,0.00003593613,0.0001591029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006033358,0.00002806329,0.9711363,0.00005174526,0.0001363688,0.000005117839,0.0001169435,0.00001224741,0.000007687267,0.000494625,0.0005130324,0.02743757],"study_design_scores_gemma":[0.001496669,0.00002863913,0.9859042,0.0005592646,0.00005170837,0.00000842338,0.000008155248,0.0001066762,0.00005670582,0.00008042,0.01160679,0.00009242255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895635,0.004985421,0.00002542064,0.00157565,0.00005487556,0.000732097,0.000002845682,0.00001361578,0.003046575],"genre_scores_gemma":[0.9969014,0.0001996674,0.001234414,0.001351606,0.00003426264,0.00003141381,0.00003760758,0.000006520109,0.0002031335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5193473,"threshold_uncertainty_score":0.9663359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913381081323855,"score_gpt":0.2801610070128486,"score_spread":0.2610271961996101,"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."}}