{"id":"W3035648039","doi":"10.3390/ijerph17114130","title":"Integrating a Health Literacy Lens into Nutrition Labelling Policy in Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Health literacy; Public health; Public relations; Labelling; Literacy; Health policy; Face (sociological concept); Population health; Health promotion; Environmental health; Health education; Population; Business; Political science; Psychology; Medicine; Health care; Sociology; Nursing; Social science","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":[0.01373562,0.0002269325,0.0005141591,0.003331263,0.01412132,0.008562288,0.0020851,0.002173914,0.005133558],"category_scores_gemma":[0.02584334,0.000423847,0.0005629243,0.005474192,0.005856428,0.002574453,0.003733483,0.003777331,0.0002125507],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2920424,"about_ca_system_score_gemma":0.5225673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981329,"about_ca_topic_score_gemma":0.9991041,"domain_scores_codex":[0.9876685,0.00299142,0.0004882158,0.0006808785,0.004638424,0.003532526],"domain_scores_gemma":[0.9715755,0.008533669,0.001169315,0.0004893214,0.01254428,0.005687875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003629551,0.0004093201,0.116897,0.001622889,0.0001539377,0.001430928,0.09809826,0.003512898,0.002047904,0.3673325,0.1290682,0.2790633],"study_design_scores_gemma":[0.0001351103,0.0001813613,0.2415727,0.003339605,0.0002874921,0.0002261549,0.08720859,0.005097053,0.001877756,0.03831435,0.6213316,0.0004282676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2676885,0.01533622,0.005712498,0.4622317,0.001136656,0.0004727896,0.002074095,0.000148901,0.2451987],"genre_scores_gemma":[0.9321802,0.006027205,0.008199645,0.02974216,0.0001553807,0.0001566381,0.0004255656,0.00005496983,0.0230582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2920424,"threshold_uncertainty_score":0.8211304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07948925148213984,"score_gpt":0.4060717183301382,"score_spread":0.3265824668479984,"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."}}