{"id":"W2741627623","doi":"10.5539/ijel.v7n5p107","title":"The Role of Formalized Structured Translation Specifications in Translation Quality Assurance of Public Signs in China","year":2017,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China","keywords":"Terminology; China; Computer science; Translation (biology); Quality assurance; Quality (philosophy); Work (physics); Variety (cybernetics); Business; Process management; Linguistics; Political science; Marketing; Engineering; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007674336,0.00008359724,0.0002306408,0.0001675087,0.0001460741,0.0001071155,0.0004986401,0.00004384639,0.00002386586],"category_scores_gemma":[0.02400447,0.00006481823,0.00009260573,0.00002098903,0.0003053186,0.000102842,0.0000199059,0.0001901401,1.50637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003187645,"about_ca_system_score_gemma":0.00007711371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611532,"about_ca_topic_score_gemma":0.004381205,"domain_scores_codex":[0.9985095,0.00007081141,0.0009288451,0.00007236965,0.0003111789,0.0001072437],"domain_scores_gemma":[0.9921888,0.0004482881,0.001127681,0.0001556941,0.006059226,0.00002029658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002010736,0.0001967412,0.06803735,0.00002461242,0.0001946544,0.000004757747,0.03250769,0.0001602735,0.0001292512,0.8831784,0.00006044335,0.01530476],"study_design_scores_gemma":[0.003828089,0.0001991793,0.2648383,0.0001958805,0.00006689797,9.194757e-7,0.006245993,0.0009612456,0.001244581,0.1607295,0.5614175,0.0002718803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.59017,0.003630584,0.0005608025,0.000869195,0.02631269,0.0004310778,0.0005123173,0.00001761051,0.3774957],"genre_scores_gemma":[0.9970013,0.0002754878,0.0004219327,0.000004920804,0.002260751,0.00000177364,0.000008233278,0.000006372539,0.00001921155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7224489,"threshold_uncertainty_score":0.9842167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068161587869969,"score_gpt":0.3265328983051884,"score_spread":0.2197167395181915,"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."}}