{"id":"W4230567105","doi":"10.3138/cpp.36.suppl.s49","title":"Message Content in Canadian Automotive Advertising: A Role for Regulation?","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada; University of Regina","funders":"","keywords":"Advertising; Automotive industry; Government (linguistics); Content analysis; Business; Order (exchange); Television advertising; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007097507,0.0004020536,0.0003878533,0.00529789,0.004438973,0.006060224,0.001422406,0.001008157,0.005027977],"category_scores_gemma":[0.03633107,0.0004214075,0.0004766124,0.005511545,0.003516818,0.001819738,0.001210038,0.001212903,0.0004350823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03954211,"about_ca_system_score_gemma":0.03247084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8987744,"about_ca_topic_score_gemma":0.8760906,"domain_scores_codex":[0.9897668,0.001500568,0.0003383147,0.0007459123,0.006648253,0.001000182],"domain_scores_gemma":[0.9757815,0.00752642,0.003731223,0.001046392,0.01082416,0.001090254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009407938,0.0004190847,0.5352514,0.001229723,0.0001876012,0.0007480007,0.0950048,0.001045566,0.01060634,0.04601438,0.01563985,0.2929125],"study_design_scores_gemma":[0.0000254459,0.0000709514,0.9284305,0.0004249703,0.0001405115,0.0001865573,0.01324282,0.001169692,0.002226162,0.001885171,0.05209339,0.0001039105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128946,0.00470565,0.002488481,0.01396378,0.0002287908,0.0002764363,0.001156352,0.0002096369,0.1640763],"genre_scores_gemma":[0.9918411,0.001306376,0.0008865197,0.0009705832,0.00008571364,0.00004826117,0.0003657127,0.00005055494,0.004445262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012256,"threshold_uncertainty_score":0.2868994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033010100952072,"score_gpt":0.2583424803394587,"score_spread":0.2253323793873867,"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."}}