{"id":"W4377097330","doi":"10.30958/ajhms.10-2-1","title":"Empirical Analysis of Obesity Determinants and Prevalence – The Case of Canada","year":2023,"lang":"en","type":"article","venue":"ATHENS JOURNAL OF HEALTH & MEDICAL SCIENCES","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overweight; Obesity; Incidence (geometry); Welfare; Government (linguistics); Smoking prevalence; Environmental health; Prevalence; Social Welfare; Medicine; Demography; Gerontology; Demographic economics; Political science; Economics; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002147805,0.0001989916,0.0004434921,0.002503447,0.00396798,0.002104858,0.001331409,0.0006789086,0.004668501],"category_scores_gemma":[0.01269991,0.0002220185,0.0006474014,0.007906364,0.001770224,0.0007187065,0.001459326,0.001564189,0.0001536869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03047038,"about_ca_system_score_gemma":0.0461114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954576,"about_ca_topic_score_gemma":0.994783,"domain_scores_codex":[0.9979039,0.0003614294,0.00006157753,0.0001891791,0.000633872,0.000850067],"domain_scores_gemma":[0.9869592,0.003975653,0.001950441,0.0005110112,0.004992477,0.001611232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00010576,0.0001382585,0.9648063,0.0001248758,0.0001531677,0.0006267946,0.002662333,0.001388006,0.000109254,0.01152483,0.003411656,0.01494871],"study_design_scores_gemma":[0.00002250095,0.00002441318,0.9790117,0.0001737384,0.0001235063,0.0002261435,0.009624653,0.004527121,0.00008576805,0.001146981,0.005002536,0.00003092701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752734,0.002689986,0.0004171363,0.003576865,0.00002444248,0.00006825953,0.002245152,0.00001483218,0.01569],"genre_scores_gemma":[0.9971482,0.0009494617,0.0002063063,0.0001445758,0.000008901504,0.000011291,0.0004793795,0.000004399543,0.001047535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03047038,"threshold_uncertainty_score":0.2210792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271282671008165,"score_gpt":0.4020587016196323,"score_spread":0.3393458749095506,"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."}}