{"id":"W1514848275","doi":"","title":"Feasibility of Applying Functional Equivalence Theory to Chinese Translation of English Songs","year":2015,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Equivalence (formal languages); Functional equivalence; Linguistics; Translation studies; Dynamic and formal equivalence; Meaning (existential); Natural (archaeology); Computer science; Style (visual arts); Translation (biology); Psychology; Sociology; Literature; History; Epistemology; Philosophy; Social psychology; Machine translation; Art","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":[0.03193625,0.0007566676,0.0006984453,0.003215486,0.004176707,0.0048643,0.001475368,0.001286239,0.01312022],"category_scores_gemma":[0.08436953,0.0004456842,0.001448491,0.003466866,0.007549821,0.01190966,0.005277387,0.001915448,0.001288654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005461514,"about_ca_system_score_gemma":0.008721408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01413268,"about_ca_topic_score_gemma":0.008956902,"domain_scores_codex":[0.9642639,0.02911848,0.001108009,0.002116151,0.00251875,0.0008747624],"domain_scores_gemma":[0.9362049,0.04963114,0.001750163,0.004762967,0.006988997,0.0006618276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003891505,0.0007277064,0.01968682,0.0009159069,0.0001017311,0.0006817253,0.05776443,0.004111145,0.001326032,0.6785869,0.004022803,0.2316856],"study_design_scores_gemma":[0.0003993367,0.0009928126,0.02405724,0.0009442254,0.0002246793,0.000521694,0.0722987,0.07188137,0.003537347,0.7831067,0.04190649,0.0001294931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3778484,0.001188886,0.253269,0.01251261,0.0006198145,0.001310268,0.0002276635,0.0002839933,0.3527395],"genre_scores_gemma":[0.9514859,0.0003249474,0.04302334,0.0005612468,0.00007346539,0.0004845003,0.0001342268,0.00004704436,0.003865334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03193625,"threshold_uncertainty_score":0.168897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09853453929645134,"score_gpt":0.3510581780093872,"score_spread":0.2525236387129358,"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."}}