{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00310233,0.0002497968,0.0002652816,0.0009792869,0.002376613,0.002973747,0.0003344428,0.0004791634,0.001634295],"category_scores_gemma":[0.005954876,0.0002022561,0.0002266357,0.0009691512,0.00146174,0.001431117,0.00111333,0.0006158785,0.0001146357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509486,"about_ca_system_score_gemma":0.001331032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04643381,"about_ca_topic_score_gemma":0.08448491,"domain_scores_codex":[0.9992821,0.0003407005,0.00003406812,0.0000624847,0.0001524867,0.0001282648],"domain_scores_gemma":[0.9966066,0.001732806,0.0006175639,0.0001749035,0.0005959201,0.0002722483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001701594,0.0001747249,0.2724347,0.0002412298,0.00005883216,0.001035177,0.6755558,0.00007737576,0.003113372,0.003059877,0.0009946683,0.04308404],"study_design_scores_gemma":[0.000009967807,0.00007359525,0.2273836,0.0001630457,0.00006685795,0.0003810765,0.7627327,0.000566615,0.0008256695,0.0005720527,0.007194437,0.00003041197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953125,0.0001704973,0.00009446489,0.0002833091,0.000004906855,0.000008867847,0.0000105652,0.000001084699,0.004113902],"genre_scores_gemma":[0.9991245,0.0002116276,0.0001067948,0.0001193029,0.000002344611,0.000004192888,0.000008408237,0.000001835903,0.000420999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04643381,"threshold_uncertainty_score":0.09232706,"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."}}