{"id":"W3172236787","doi":"10.1111/ijcs.12720","title":"How to craft humorous advertisements across diverse cultures? Multi‐country insights from Brazilian, Chinese and American consumers","year":2021,"lang":"en","type":"article","venue":"International Journal of Consumer Studies","topic":"Humor Studies and Applications","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Uncertainty avoidance; Collectivism; Individualism; Affect (linguistics); China; Psychology; Multiculturalism; Craft; Social psychology; Advertising; Hofstede's cultural dimensions theory; Cultural diversity; Cognition; Sociology; Business; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007407118,0.0002232621,0.0004587205,0.00008024862,0.0002414486,0.0001273682,0.0003228169,0.00003740933,0.00006792117],"category_scores_gemma":[0.0003518816,0.0001732142,0.0001125128,0.0001861162,0.0004045979,0.0001135677,0.0003606346,0.0002119808,0.00003820537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008273416,"about_ca_system_score_gemma":0.00003324617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003251246,"about_ca_topic_score_gemma":0.002202724,"domain_scores_codex":[0.9985373,0.00007611576,0.0004319305,0.0003064103,0.0004205478,0.0002276933],"domain_scores_gemma":[0.9980425,0.0002512436,0.000393902,0.000182352,0.000981085,0.0001488853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005222954,0.0009367415,0.7592818,0.00001865674,0.02028434,0.002029438,0.08853514,0.00001146669,0.00500205,0.001004988,0.04817731,0.07419575],"study_design_scores_gemma":[0.002749803,0.00008454736,0.6028484,0.00009707843,0.000177981,0.0001519672,0.09691451,0.00000442155,0.0002024803,0.000200708,0.2962506,0.0003175839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698299,0.02006501,0.0002183097,0.007147295,0.002004039,0.0001206116,0.0002899678,0.00001621397,0.0003087046],"genre_scores_gemma":[0.9923901,0.00318888,0.001250218,0.001375018,0.0002642624,0.00002644403,0.00001301897,0.00001593807,0.001476137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2480733,"threshold_uncertainty_score":0.7063472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793900038497579,"score_gpt":0.4117223966270016,"score_spread":0.3837833962420258,"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."}}