{"id":"W4400278533","doi":"10.7202/1111962ar","title":"A bibliometric analysis of research on the translation of advertising. An inconstant object of study?","year":2023,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Object (grammar); Research Object; Translation (biology); Computer science; Advertising; Information retrieval; Data science; Artificial intelligence; Sociology; Business; Regional science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02278923,0.0006830788,0.001969459,0.1735942,0.002077518,0.01025701,0.001153743,0.001340468,0.006714862],"category_scores_gemma":[0.1454307,0.000435463,0.0016679,0.2915859,0.002973004,0.009242916,0.003256408,0.0009796895,0.001863857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005494387,"about_ca_system_score_gemma":0.008492335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007221042,"about_ca_topic_score_gemma":0.008290387,"domain_scores_codex":[0.946979,0.01678038,0.008904335,0.00233741,0.02416837,0.0008305672],"domain_scores_gemma":[0.7477497,0.1617498,0.03183698,0.01398334,0.04255622,0.002123896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004970281,0.0002893684,0.2379821,0.02679172,0.003280246,0.0004610794,0.01446129,0.001005654,0.003076988,0.04790986,0.05877286,0.6054718],"study_design_scores_gemma":[0.0001361947,0.0003918197,0.6739584,0.01176043,0.004210097,0.001454253,0.02611228,0.004350767,0.003567037,0.03228603,0.2414798,0.0002929309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4662026,0.2447294,0.0233736,0.03021242,0.002701295,0.001206374,0.04453332,0.0007161662,0.1863248],"genre_scores_gemma":[0.8864097,0.06756782,0.01656825,0.0009906609,0.003332822,0.0007097165,0.01770931,0.0001984096,0.00651338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8264058,"threshold_uncertainty_score":0.1205224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2995073695424818,"score_gpt":0.4181011166296958,"score_spread":0.118593747087214,"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."}}