{"id":"W2793187676","doi":"10.1017/s1368980018000010","title":"Front-of-package nutrition labelling policy: global progress and future directions","year":2018,"lang":"en","type":"editorial","venue":"Public Health Nutrition","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":339,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Labelling; Content (measure theory); Front (military); Computer science; Action (physics); Psychology; Geography; Mathematics; Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01301595,0.00207996,0.002230241,0.002004047,0.002325232,0.009055482,0.00345145,0.02483087,0.01430264],"category_scores_gemma":[0.03750675,0.0007466246,0.001669578,0.001691263,0.003506067,0.007771647,0.001347342,0.02697263,0.00656583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00512281,"about_ca_system_score_gemma":0.007025132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263642,"about_ca_topic_score_gemma":0.01064886,"domain_scores_codex":[0.9920524,0.001883151,0.0009837892,0.0008396565,0.003753718,0.00048721],"domain_scores_gemma":[0.9687749,0.01785419,0.00145335,0.0006688014,0.008906491,0.002342325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004098015,0.00002079161,0.00002828435,0.0004406855,0.00001068974,0.0001301026,0.00005442233,0.00003709373,0.00006207885,0.002902527,0.9790856,0.01718671],"study_design_scores_gemma":[0.00003945428,0.00001991328,0.0001773838,0.0008855889,0.00002795431,0.0001366328,0.000115025,0.00009001244,0.00009139855,0.002780464,0.9956176,0.00001851002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009997737,0.02816591,0.0002370502,0.2566721,0.7096893,0.00001127256,0.00007957879,0.00008649506,0.004958328],"genre_scores_gemma":[0.002476515,0.04340022,0.0006060745,0.1214163,0.8147316,0.00003004877,0.00008643038,0.00009976682,0.01715305],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02483087,"threshold_uncertainty_score":0.06883568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320626463527809,"score_gpt":0.3445753324649872,"score_spread":0.3213690678297091,"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."}}