{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008850101,0.00005923616,0.0002661615,0.0002466432,0.00005608688,0.00001433073,0.0000596327,0.00002996435,0.0001117565],"category_scores_gemma":[0.0002973221,0.00005452721,0.00001771179,0.0001801573,0.00008743748,0.00008963299,0.000002669965,0.0001751767,4.674974e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007819937,"about_ca_system_score_gemma":0.03810708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9535434,"about_ca_topic_score_gemma":0.9989401,"domain_scores_codex":[0.9990223,0.00004809673,0.0004035597,0.00007334731,0.0001351854,0.0003175143],"domain_scores_gemma":[0.9980634,0.0000401242,0.0001929383,0.00007978498,0.0002946381,0.001329048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007782956,0.00001143396,0.9816411,0.0002682455,0.00003897378,0.00003119371,0.0006524813,2.15388e-7,0.00007061289,0.0001357501,0.0003564911,0.0167857],"study_design_scores_gemma":[0.0009755623,0.0003696654,0.9902409,0.0002892767,0.00001824322,0.0002868558,0.0005920205,0.00003996443,0.00009140255,0.00002488908,0.007010556,0.0000606848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885216,0.004356503,0.00008330221,0.006631339,0.0001528744,0.00008067064,0.00001031171,0.000001082758,0.0001622551],"genre_scores_gemma":[0.998471,0.0001590499,0.0002405157,0.001050059,0.00006302737,3.063395e-7,0.00000157313,0.00000550878,0.00000899534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04539658,"threshold_uncertainty_score":0.967346,"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."}}