{"id":"W4415303825","doi":"10.1075/dt.25009.aul","title":"Transcreation and AI in global marketing","year":2025,"lang":"en","type":"article","venue":"Digital Translation","topic":"Halal products and consumer behavior","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Standardization; Consistency (knowledge bases); Key (lock); Cultural diversity; Global marketing","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":[0.0002343,0.00003681712,0.00004630555,0.00003133872,0.00007746646,0.0001206301,0.00002967137,0.00003760708,0.000009140502],"category_scores_gemma":[0.00003748538,0.0000395097,0.00001384908,0.0002471844,0.00005038152,0.000424156,0.000001659308,0.00003285547,0.00000183876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540673,"about_ca_system_score_gemma":0.00004618074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002392808,"about_ca_topic_score_gemma":0.0009640194,"domain_scores_codex":[0.9995869,0.00004104677,0.00009332443,0.000109239,0.00007908823,0.00009040254],"domain_scores_gemma":[0.9998885,0.00003354542,0.000008959485,0.00003101541,0.00001845439,0.00001947991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001790496,0.00001514628,0.1077738,0.000005938475,0.000001510074,4.131082e-7,0.0007815163,0.000001091925,0.00003999112,0.007901104,0.000007159007,0.8834544],"study_design_scores_gemma":[0.0006624727,0.00001011619,0.9246688,0.00009465231,0.00001856568,2.97816e-7,0.001382181,0.0001445903,0.0000325545,0.01391874,0.0589125,0.0001544967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890062,0.0004109625,0.001081484,0.004036877,0.0000805267,0.000278891,0.000009290931,0.00004130517,0.2050545],"genre_scores_gemma":[0.9995973,0.00002635576,0.00003891721,0.00004534714,0.0000133887,0.000005756808,0.000007434026,0.000001343159,0.0002641339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8832999,"threshold_uncertainty_score":0.1611159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843432655586266,"score_gpt":0.3308837108385929,"score_spread":0.3124493842827302,"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."}}