{"id":"W31502452","doi":"10.1021/acs.biomac.9b01115","title":"What Appeals to the Chinese Customers? Content Analysis of Chinese Advertisements in Newspaper and on TV","year":2008,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Globalization and Cultural Identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Solvay; Government of Ontario","keywords":"Advertising; Newspaper; Product (mathematics); Psychology; Sociology; Marketing; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002926482,0.0002681671,0.0001887156,0.003772611,0.0003930956,0.0009948096,0.0001604648,0.0002986054,0.006174007],"category_scores_gemma":[0.001210307,0.000109668,0.0002908067,0.003404971,0.0002520577,0.0003761429,0.0002549491,0.0003012412,0.001257959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556712,"about_ca_system_score_gemma":0.0003557171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384571,"about_ca_topic_score_gemma":0.01385565,"domain_scores_codex":[0.9997533,0.00003399546,0.00002424433,0.00003498156,0.00009005938,0.00006343712],"domain_scores_gemma":[0.9985282,0.0005893856,0.0003432448,0.00003223041,0.0003217649,0.0001850315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006756225,0.0002401031,0.8965551,0.0005268587,0.0001691,0.001184833,0.008796619,0.0001640586,0.01600888,0.0005014029,0.01090527,0.06427215],"study_design_scores_gemma":[0.000002663195,0.00004759424,0.9928514,0.00001893044,0.0000463235,0.0002979405,0.002547339,0.0004066559,0.001173937,0.00003265553,0.002564644,0.00001002803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892831,0.000357918,0.00006311829,0.0001250342,0.00002229063,0.00002105359,0.002936708,0.00002886995,0.007161932],"genre_scores_gemma":[0.9915537,0.0004637677,0.0002107937,0.0001179427,0.0001157591,0.00002861644,0.002668145,0.00001838787,0.004822893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384571,"threshold_uncertainty_score":0.02753025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063367877689879,"score_gpt":0.324540755591298,"score_spread":0.2939070768143992,"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."}}