{"id":"W3037116803","doi":"10.5539/elt.v13n7p124","title":"The Modularized Construction on Translation Competence for Business English Majors in China","year":2020,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Schema (genetic algorithms); Computer science; Business English; Psychology; Mathematics education; Knowledge management; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.0004385419,0.0001291311,0.0001552337,0.00003993351,0.0006858728,0.0002784252,0.000124629,0.00003344147,0.00006078715],"category_scores_gemma":[0.0004506258,0.00009594586,0.00005958222,0.00005561727,0.00008407061,0.0004106626,0.000009973633,0.0003349314,0.000002854727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001439734,"about_ca_system_score_gemma":0.00001355631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002142471,"about_ca_topic_score_gemma":0.0006596173,"domain_scores_codex":[0.9990914,0.0001394023,0.0002378762,0.0002020383,0.0001503233,0.0001788862],"domain_scores_gemma":[0.9991214,0.0005757791,0.0001026544,0.0001076242,0.00005981254,0.00003277662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002578128,0.00002596523,0.00009305451,0.00004266145,0.00002914349,0.000002689699,0.7797469,0.000374847,0.00007130329,0.09919795,0.0001344239,0.1200232],"study_design_scores_gemma":[0.002042292,0.00009761676,0.0004433896,0.00006495012,0.00004305975,6.545686e-7,0.2405148,0.002992855,0.00005277756,0.0005338435,0.752905,0.0003088728],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274494,0.00227553,0.003880382,0.008592708,0.00389443,0.00136825,0.000149847,0.0006417173,0.1517477],"genre_scores_gemma":[0.9970026,0.00003434093,0.000892173,0.0002626736,0.001662314,0.00003303095,0.00003664011,0.00001842492,0.00005780593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7527705,"threshold_uncertainty_score":0.5275248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612030027591828,"score_gpt":0.2493398947816891,"score_spread":0.2232195945057708,"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."}}