{"id":"W2992689260","doi":"10.3390/ijerph16244939","title":"Regulating the Fast-Food Landscape: Canadian News Media Representation of the Healthy Menu Choices Act","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Consumption (sociology); Legislation; Food choice; Accountability; News media; Acknowledgement; Advertising; Political science; Affect (linguistics); Social media; Public relations; Representation (politics); Politics; Public economics; Business; Psychology; Sociology; Economics; Medicine; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001472877,0.00006315542,0.0001597667,0.0002092398,0.000139111,0.00005552431,0.0002811304,0.00003441261,0.0002453084],"category_scores_gemma":[0.0002929658,0.00003631103,0.00006170256,0.0001435015,0.0001236165,0.0001536966,0.00009628948,0.0004435801,0.00000400887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825971,"about_ca_system_score_gemma":0.0008703645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006053725,"about_ca_topic_score_gemma":0.01300539,"domain_scores_codex":[0.9979101,0.0002007638,0.0004017242,0.0001138055,0.001088606,0.0002850087],"domain_scores_gemma":[0.9987485,0.0003391053,0.0002521137,0.0001608158,0.0001099532,0.0003894971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002050547,0.000187192,0.8303577,0.00004056903,0.000328347,0.000004769679,0.001991083,0.000009264233,0.0008583612,0.0005918399,0.0004611897,0.1649646],"study_design_scores_gemma":[0.001663003,0.001001909,0.9605035,0.0001638837,0.00001081407,0.0002156151,0.003143278,0.0001993534,0.0001192106,0.000268269,0.03265768,0.00005347501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333414,0.002435378,0.00000504884,0.06292728,0.0002597853,0.0002397174,0.0000273976,0.00000127667,0.0007627417],"genre_scores_gemma":[0.9973547,0.001319329,0.00008811375,0.0008967812,0.0002079491,0.000001997717,0.00001068637,0.000007667683,0.0001128083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1649111,"threshold_uncertainty_score":0.9151462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06961621113011941,"score_gpt":0.3777254174055525,"score_spread":0.3081092062754331,"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."}}