{"id":"W2134375318","doi":"10.7202/003523ar","title":"Linguistic Contributions to the Development of Translation Studies in China","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Translation (biology); Translation studies; China; Computer science; Sociology; History; 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":[0.03217414,0.000528185,0.0006990643,0.006577154,0.005401548,0.004074261,0.001111327,0.0007539942,0.003554968],"category_scores_gemma":[0.03079633,0.0003693223,0.0004105663,0.0111116,0.007160948,0.003754294,0.003974774,0.001679451,0.0002188163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01321153,"about_ca_system_score_gemma":0.02632707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03165625,"about_ca_topic_score_gemma":0.02531314,"domain_scores_codex":[0.9822765,0.01130049,0.001445682,0.00112251,0.002929669,0.0009251797],"domain_scores_gemma":[0.9673881,0.02042747,0.002457586,0.002612488,0.006158652,0.0009557459],"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":[0.0002534243,0.0001421012,0.02660837,0.003056477,0.0001090605,0.001446808,0.1627255,0.002558016,0.002312062,0.4267101,0.00339125,0.3706868],"study_design_scores_gemma":[0.0002464985,0.0008292858,0.2198053,0.007166843,0.0005128961,0.001287469,0.08929103,0.01016744,0.01060647,0.1907882,0.4690024,0.0002962258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6133656,0.07844488,0.02586137,0.04159382,0.001468936,0.0004024074,0.0002185941,0.000214813,0.2384296],"genre_scores_gemma":[0.9808643,0.007802026,0.005198874,0.0006625704,0.0002821234,0.0001242885,0.00007191899,0.00004063256,0.004953146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03217414,"threshold_uncertainty_score":0.1701552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191557114655856,"score_gpt":0.3466395526992586,"score_spread":0.1550824380434027,"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."}}