{"id":"W4412636222","doi":"10.5539/elt.v18n8p53","title":"An Empirical Investigation of Cutting-Edge Teaching Techniques and Curriculum Development for Business English: A Case Study","year":2025,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Curriculum; Business English; Mathematics education; Empirical research; Teaching method; Enhanced Data Rates for GSM Evolution; Pedagogy; Artificial intelligence; Computer science; Epistemology","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":[0.008113308,0.0003785017,0.0004165449,0.001515434,0.006231885,0.003665782,0.002156248,0.001965095,0.004106424],"category_scores_gemma":[0.02127621,0.0005095497,0.0003180447,0.00126492,0.002550213,0.002583567,0.002790116,0.00232959,0.0006937925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004763523,"about_ca_system_score_gemma":0.005388532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406572,"about_ca_topic_score_gemma":0.01918621,"domain_scores_codex":[0.993311,0.004724947,0.0002094201,0.000325532,0.0006372877,0.0007917805],"domain_scores_gemma":[0.9838215,0.0100612,0.001425275,0.0007502938,0.001672031,0.002269603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000174892,0.007668897,0.03584532,0.000725049,0.00001964567,0.01414706,0.8526224,0.0004484861,0.005163738,0.008140125,0.002505899,0.07253841],"study_design_scores_gemma":[0.000054275,0.0009961027,0.01305587,0.0003542774,0.00001869935,0.002202901,0.95608,0.0009525314,0.001733928,0.0004897676,0.02402881,0.00003271081],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930293,0.0001275847,0.001261318,0.0006886289,0.00001815679,0.0002702429,0.00002485607,0.000009236627,0.004570729],"genre_scores_gemma":[0.9885085,0.0005469976,0.005163001,0.0003238608,0.000012781,0.0003045262,0.00003251489,0.00001670872,0.005091123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008113308,"threshold_uncertainty_score":0.04290777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181574834664342,"score_gpt":0.3025110479778277,"score_spread":0.2843535645113935,"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."}}