{"id":"W1911186669","doi":"","title":"Performance-oriented Drama Translation-A Case Study of the Translation of Characters’ Names by Cao Yu","year":2015,"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":"Drama; Reputation; Perspective (graphical); Orientation (vector space); Translation (biology); Linguistics; Literature; China; Psychology; Computer science; History; Sociology; Art; Philosophy; Artificial intelligence; Mathematics; Social science; Geometry; Chemistry","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":[0.002885041,0.0006553862,0.0004177301,0.0008875558,0.01108824,0.003029383,0.001217435,0.001915303,0.005028717],"category_scores_gemma":[0.0094971,0.0002392941,0.0004055782,0.002267818,0.004837768,0.002197403,0.00312199,0.002331921,0.000638756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004325512,"about_ca_system_score_gemma":0.002741255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358462,"about_ca_topic_score_gemma":0.02578145,"domain_scores_codex":[0.9960038,0.002784496,0.0001124209,0.000201833,0.0004414118,0.0004560326],"domain_scores_gemma":[0.9972776,0.001456335,0.000263063,0.0002809273,0.0003327966,0.000389345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001880274,0.0003117331,0.005763198,0.000318183,0.00001526501,0.01810778,0.9084663,0.0007261109,0.004246664,0.02334054,0.007084351,0.03143181],"study_design_scores_gemma":[0.00003028864,0.0002253705,0.009866036,0.0002027632,0.00002227614,0.003535098,0.848488,0.001898419,0.004131912,0.002184995,0.1293534,0.00006140851],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511699,0.0003862306,0.00307786,0.002323336,0.0001633494,0.0001517332,0.00008121932,0.00004882419,0.04259751],"genre_scores_gemma":[0.981769,0.0003526027,0.001951803,0.0003205115,0.0000454846,0.00006917811,0.00009017847,0.0000576282,0.01534361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358462,"threshold_uncertainty_score":0.03138393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444758269449242,"score_gpt":0.3087220030938861,"score_spread":0.2542744203993937,"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."}}