{"id":"W6999346671","doi":"","title":"The Comparison of TV commercials in Canada and China","year":2000,"lang":"en","type":"article","venue":"VUBIR (Vrije Universiteit Brussel)","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Product (mathematics); Feature (linguistics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003111763,0.0002543142,0.0002710471,0.004603492,0.002542404,0.002275238,0.0005507467,0.0003592794,0.004888506],"category_scores_gemma":[0.001218045,0.0001750879,0.0004272248,0.01160449,0.00086595,0.0004640998,0.0007444264,0.0004683464,0.0002820292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0172446,"about_ca_system_score_gemma":0.01128522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780495,"about_ca_topic_score_gemma":0.9909716,"domain_scores_codex":[0.9993951,0.00003735421,0.0000205143,0.00007219188,0.0001722545,0.0003025739],"domain_scores_gemma":[0.9982667,0.0001745861,0.000229968,0.00003463935,0.0008187498,0.0004754236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003465841,0.00008287344,0.9442664,0.0001211683,0.0001563532,0.0009817617,0.01144804,0.0004330071,0.001428374,0.004855192,0.002961879,0.03291835],"study_design_scores_gemma":[0.000003525302,0.00001606004,0.9897198,0.00001795323,0.00002434752,0.00005627127,0.006524175,0.0002250816,0.0001153406,0.00004655195,0.00323981,0.00001106162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99016,0.001058393,0.00004290265,0.0002264418,0.000008593436,0.000008290941,0.0008994661,0.000008084235,0.007587719],"genre_scores_gemma":[0.9966189,0.0003901873,0.0000417065,0.00002817205,0.000003602998,0.000002252047,0.0005690844,0.000003871245,0.002342319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195054,"threshold_uncertainty_score":0.125119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359721536647025,"score_gpt":0.2135633672150182,"score_spread":0.199966151848548,"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."}}