{"id":"W3045533295","doi":"10.1371/journal.pmed.1003221","title":"Predicting obesity reduction after implementing warning labels in Mexico: A modeling study","year":2020,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Bloomberg Philanthropies; Bloomberg Family Foundation","keywords":"Obesity; Medicine; Reduction (mathematics); Environmental health; Internal medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002297139,0.00142669,0.0008863423,0.0009559532,0.0005849325,0.001398327,0.001617983,0.001636536,0.003726546],"category_scores_gemma":[0.004051672,0.0005829114,0.002096416,0.0008689874,0.000395548,0.000749585,0.0008308764,0.001483708,0.0002820214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002956053,"about_ca_system_score_gemma":0.001902193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1310638,"about_ca_topic_score_gemma":0.06389087,"domain_scores_codex":[0.9994729,0.0002086014,0.00001836289,0.0001412222,0.00002529645,0.0001337154],"domain_scores_gemma":[0.9959895,0.002972938,0.0005249659,0.000101216,0.0002750754,0.0001363453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001266528,0.002174893,0.2463785,0.000208835,0.0006946423,0.0004906431,0.0001979377,0.7300129,0.0005750418,0.002265731,0.004038089,0.01169635],"study_design_scores_gemma":[0.0002394178,0.0004415188,0.03085858,0.00004124255,0.0003014785,0.00003569245,0.0001719472,0.9660522,0.0001863174,0.0006969828,0.0009443176,0.00003022531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936785,0.0003442643,0.002535557,0.0006436165,0.0000327977,0.00006510148,0.001579614,0.00006821763,0.001052351],"genre_scores_gemma":[0.9917594,0.0004081586,0.003570261,0.0001391572,0.00003869072,0.0001366053,0.002540942,0.00001342872,0.001393557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310638,"threshold_uncertainty_score":0.2606019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06193862948406535,"score_gpt":0.3120497118053265,"score_spread":0.2501110823212612,"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."}}