{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047878,0.00007947526,0.0002326224,0.0003322625,0.00008820578,0.00006841919,0.0001469082,0.00002170259,0.00007114921],"category_scores_gemma":[0.000312899,0.0000703742,0.00003215728,0.0002005361,0.00005405352,0.0002607535,0.00008628747,0.0006800361,0.000001988798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002919488,"about_ca_system_score_gemma":0.004602997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.328798,"about_ca_topic_score_gemma":0.1193935,"domain_scores_codex":[0.9978656,0.0001536395,0.0005771972,0.0001451631,0.0008974065,0.0003609685],"domain_scores_gemma":[0.9988384,0.0001437318,0.0001736663,0.00005302373,0.0000933059,0.0006978213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003645245,0.0008003651,0.1442923,0.0003101365,0.0001911754,0.0002475123,0.005976241,0.000005693342,0.00135636,0.0007572233,0.0007351612,0.8449633],"study_design_scores_gemma":[0.02014829,0.01309455,0.3616839,0.005692374,0.00001872723,0.002303444,0.02957347,0.01268636,0.0003712583,0.002213733,0.551505,0.000708845],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6399956,0.01070911,0.0002606994,0.3486584,0.00007509733,0.0001983871,0.00002865487,0.00000275904,0.00007125393],"genre_scores_gemma":[0.9805996,0.01090697,0.001560451,0.006531499,0.0003608902,0.000002932138,0.00002073142,0.000009385169,0.000007495565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8442545,"threshold_uncertainty_score":0.8966753,"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."}}