{"id":"W2011415288","doi":"10.5539/elt.v7n9p156","title":"A Case Study on Teaching Business Courses in English or Bilingualism with Guangwai as an Example","year":2014,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guangdong University of Foreign Studies","keywords":"Christian ministry; Mathematics education; China; Foreign language; Business English; Foreign language teaching; Neuroscience of multilingualism; Psychology; Selection (genetic algorithm); Teaching method; Language education; Pedagogy; Mode (computer interface); Computer science; Political science","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":[0.001156055,0.0004673069,0.0002650394,0.0005547474,0.008288195,0.0013792,0.001334327,0.001961271,0.005051889],"category_scores_gemma":[0.001230688,0.0002922135,0.0004026454,0.001193066,0.00192328,0.001017275,0.002133592,0.001610202,0.000657414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003576027,"about_ca_system_score_gemma":0.002635646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072616,"about_ca_topic_score_gemma":0.07935131,"domain_scores_codex":[0.9990388,0.000459005,0.00002819842,0.00008424374,0.00009758773,0.0002921623],"domain_scores_gemma":[0.9986527,0.0004294481,0.0000946013,0.00005265576,0.00008443522,0.0006861037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004697079,0.00452229,0.04636,0.001140538,0.00004433201,0.1282894,0.6754993,0.003387236,0.02378837,0.01484387,0.009963132,0.09169184],"study_design_scores_gemma":[0.0001205433,0.001627044,0.06654009,0.0003847113,0.00004884334,0.01438202,0.7674821,0.003423281,0.008419331,0.001450856,0.1360386,0.00008255123],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771047,0.0002165565,0.001321284,0.001191091,0.00004577335,0.0001902376,0.00003883367,0.00002585733,0.01986564],"genre_scores_gemma":[0.9786507,0.0004424434,0.003772455,0.0002984088,0.00002219307,0.0001078318,0.00004871501,0.00002303666,0.01663426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02072616,"threshold_uncertainty_score":0.04121101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607275935207195,"score_gpt":0.284571501378859,"score_spread":0.2484987420267871,"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."}}