{"id":"W1988757608","doi":"10.5539/ass.v4n7p92","title":"Basic Approaches to Improve Translation Quality Between English and Chinese","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Translation (biology); Quality (philosophy); Computer science; Process (computing); Natural language processing; Value (mathematics); Translation studies; Dynamic and formal equivalence; Linguistics; Artificial intelligence; Machine translation; Epistemology; Machine learning; 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":[0.04197182,0.001394584,0.001102113,0.006407105,0.00340093,0.005658499,0.002107203,0.001368355,0.004334287],"category_scores_gemma":[0.0693614,0.0007432434,0.001517832,0.006397316,0.00368389,0.004248612,0.004705625,0.002435454,0.001299153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004172507,"about_ca_system_score_gemma":0.009333351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536197,"about_ca_topic_score_gemma":0.003905801,"domain_scores_codex":[0.9670421,0.0172845,0.004736713,0.001939024,0.008428708,0.0005688464],"domain_scores_gemma":[0.9448631,0.02445822,0.006053995,0.005080492,0.01893999,0.0006041474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001555983,0.0002994684,0.004032643,0.005017329,0.0001642719,0.0002463578,0.02543931,0.00143595,0.008978028,0.06127425,0.006913239,0.8860435],"study_design_scores_gemma":[0.0009238798,0.002580069,0.06998899,0.01334768,0.002219699,0.00467873,0.03619039,0.0434568,0.1071291,0.3191104,0.399453,0.0009212184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03654617,0.01110443,0.8894097,0.01077411,0.0006970899,0.004067492,0.0002420898,0.002471093,0.04468779],"genre_scores_gemma":[0.1029598,0.003673691,0.8867019,0.0004824931,0.0001560633,0.001835419,0.0001594349,0.0002181847,0.003813053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04197182,"threshold_uncertainty_score":0.2219709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148617079488277,"score_gpt":0.3262738892643307,"score_spread":0.1776568097760537,"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."}}