{"id":"W2996915373","doi":"10.1371/journal.pone.0226975","title":"Traffic light labelling could prevent mortality from noncommunicable diseases in Canada: A scenario modelling study","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Social Sciences and Humanities Research Council of Canada; British Heart Foundation; Cancer Care Ontario","keywords":"Environmental health; Context (archaeology); Medicine; Nutrient; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269656,0.001324056,0.0009347666,0.001265473,0.001552703,0.001677544,0.002657158,0.001542472,0.004061063],"category_scores_gemma":[0.00403208,0.0005455654,0.002560414,0.001910347,0.0007653513,0.0007342177,0.001109593,0.001583136,0.000253124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03894024,"about_ca_system_score_gemma":0.02831019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681664,"about_ca_topic_score_gemma":0.9441078,"domain_scores_codex":[0.9988661,0.000443243,0.00003121242,0.0001414925,0.0001289647,0.0003890237],"domain_scores_gemma":[0.9970337,0.001253245,0.000246564,0.0001119114,0.001021368,0.0003332875],"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":[0.001048892,0.0004777815,0.06299534,0.0003275828,0.0007215518,0.0004810955,0.0002766353,0.9149982,0.000406981,0.006887125,0.00551478,0.005863979],"study_design_scores_gemma":[0.0007719664,0.0005068215,0.04260108,0.0001719734,0.0009456121,0.0001025667,0.0008957392,0.9435561,0.0004062613,0.003012395,0.006877647,0.0001518973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599465,0.001531913,0.004253959,0.002131555,0.00007020304,0.0005460262,0.01765762,0.000125124,0.01373723],"genre_scores_gemma":[0.9897255,0.0009224934,0.002365507,0.0001751472,0.0000140371,0.000213691,0.003348325,0.00001477371,0.003220426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03894024,"threshold_uncertainty_score":0.2825325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06612510326924094,"score_gpt":0.2593565899085999,"score_spread":0.193231486639359,"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."}}