{"id":"W2891299649","doi":"10.17269/s41997-018-0130-x","title":"Consumption of ultra-processed foods and obesity in Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":340,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Obesity; Environmental health; Medicine; Body mass index; Confounding; Calorie; Consumption (sociology); Logistic regression; Multivariate analysis; Cross-sectional study; Population; Demography; Gerontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006498054,0.0003572333,0.0005148452,0.002665823,0.004389112,0.002257975,0.001465483,0.00129029,0.007084317],"category_scores_gemma":[0.002180367,0.0007081676,0.001374329,0.007171943,0.001037695,0.0006098147,0.001011375,0.002222116,0.0003626314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04300506,"about_ca_system_score_gemma":0.05127242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984159,"about_ca_topic_score_gemma":0.9990388,"domain_scores_codex":[0.9989018,0.0000769358,0.00007441948,0.0001231118,0.0004097616,0.0004139223],"domain_scores_gemma":[0.9959706,0.000196456,0.0007355815,0.00005666205,0.001570435,0.001470333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002133742,0.0001935467,0.9871673,0.0000745302,0.0001183349,0.0002184098,0.001359492,0.0001056078,0.000148368,0.0004317743,0.003239997,0.006729334],"study_design_scores_gemma":[0.00002555783,0.00003260922,0.994316,0.00009888066,0.00007064769,0.00008189696,0.002735381,0.0002663448,0.0000485628,0.00006831565,0.002228291,0.00002759123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979283,0.004226534,0.0001034567,0.003617874,0.0001153169,0.000048493,0.00506388,0.00002027035,0.007521061],"genre_scores_gemma":[0.9922016,0.002315909,0.0001831373,0.0005506663,0.00003155633,0.00001380032,0.001086816,0.00001302488,0.003603471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04300506,"threshold_uncertainty_score":0.312025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06358917224933905,"score_gpt":0.3033602407842769,"score_spread":0.2397710685349379,"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."}}