{"id":"W2964467577","doi":"10.5430/wjel.v9n2p42","title":"Translating English-Arabic Business-to-Consumer Advertisements: a Domesticating Approach","year":2019,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arabic; Equivalence (formal languages); Linguistics; Advertising; Quality (philosophy); Computer science; Taxonomy (biology); Sociology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005517002,0.0001856724,0.0003654289,0.0003000592,0.0001798554,0.0002305037,0.0002364943,0.00002697486,0.001657934],"category_scores_gemma":[0.000383017,0.0001475438,0.0001368256,0.0002383616,0.00005286432,0.0008044246,0.00002631063,0.0003438551,0.00004285908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718518,"about_ca_system_score_gemma":0.00004045985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005034187,"about_ca_topic_score_gemma":0.0001798457,"domain_scores_codex":[0.9984887,0.000078016,0.0006108001,0.0001794707,0.0003644289,0.0002785346],"domain_scores_gemma":[0.998104,0.0002629923,0.0003973733,0.0001870241,0.0009407115,0.0001078569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002406262,0.0002704035,0.008085789,0.0003084275,0.000469015,0.00003174141,0.8894151,0.0006710116,0.0002980393,0.008291543,0.003089424,0.08882892],"study_design_scores_gemma":[0.001260388,0.00006577792,0.0009320123,0.0002156446,0.0001300895,0.000003992856,0.06001271,0.00003724335,0.00001720772,0.00002647221,0.93704,0.0002585137],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2618937,0.008441098,0.0003362643,0.0004429218,0.003972169,0.000416863,0.00003352547,0.00009718369,0.7243663],"genre_scores_gemma":[0.9918665,0.00005127742,0.002773056,0.0003495778,0.002541686,0.000006336109,0.000005903972,0.00003194353,0.002373768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9339505,"threshold_uncertainty_score":0.9992547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854378959108538,"score_gpt":0.2545917159692585,"score_spread":0.2360479263781731,"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."}}