{"id":"W2904655468","doi":"10.3968/10604","title":"On Localization and Standardization in Brand Name Translation","year":2018,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standardization; Multinational corporation; Globalization; Brand names; China; Realization (probability); Business; Translation (biology); Brand management; Linguistics; Advertising; Marketing; Computer science; Political science; Mathematics; Law; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.02296597,0.0006302116,0.0004464454,0.005295471,0.003997492,0.008491492,0.0009811948,0.00137311,0.006042313],"category_scores_gemma":[0.04606,0.0003607761,0.0005258947,0.007755093,0.02918234,0.01649375,0.005995176,0.002399015,0.001059813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004312656,"about_ca_system_score_gemma":0.004182234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264357,"about_ca_topic_score_gemma":0.002517438,"domain_scores_codex":[0.9620295,0.02899669,0.001595533,0.002024143,0.004382003,0.0009721213],"domain_scores_gemma":[0.9441792,0.04213789,0.004320681,0.004426371,0.004408639,0.0005272527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001025294,0.00006802108,0.007533165,0.0004506932,0.00002128312,0.0002725715,0.08912736,0.0003434892,0.00129536,0.8089855,0.001634989,0.09016511],"study_design_scores_gemma":[0.00008234631,0.0003402033,0.02928226,0.002433588,0.0001123936,0.001139266,0.09353503,0.004118181,0.008031221,0.7425216,0.1182782,0.0001256467],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.33953,0.01305543,0.1598783,0.02332625,0.000789003,0.0002660427,0.0001306147,0.0002469599,0.4627774],"genre_scores_gemma":[0.979625,0.002554556,0.01062479,0.001116466,0.000277749,0.0001055325,0.00005284911,0.00008655966,0.005556657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02296597,"threshold_uncertainty_score":0.1214571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982178256733047,"score_gpt":0.3206872501812512,"score_spread":0.2908654676139207,"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."}}