{"id":"W2926375449","doi":"10.5539/hes.v9n2p124","title":"Exploring Business English Talent Training Model under the Background of the Belt and Road Initiative","year":2019,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guangdong University of Foreign Studies","keywords":"China; Training (meteorology); Curriculum; Economic shortage; Order (exchange); Business English; Business model; Business; Disconnection; Executive education; Business education; Marketing; Management; Government (linguistics); Economic growth; Political science; Sociology; Higher education; Economics; Electronic business; Finance; Pedagogy","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":[0.002063062,0.0003069136,0.0001657654,0.001644425,0.00157284,0.003056346,0.0007731513,0.0007602134,0.003137882],"category_scores_gemma":[0.002376728,0.0001336487,0.0002430622,0.001043221,0.001863777,0.00378808,0.002029063,0.0008663495,0.000286713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004699436,"about_ca_system_score_gemma":0.006496321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461374,"about_ca_topic_score_gemma":0.00707854,"domain_scores_codex":[0.9984481,0.0006260262,0.00006121747,0.000111464,0.0004754973,0.0002776282],"domain_scores_gemma":[0.9986494,0.0004099943,0.0001369066,0.00003535901,0.0003309945,0.000437408],"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":[0.0001317504,0.001165939,0.07085241,0.0007350037,0.00002594922,0.00113052,0.05256055,0.003899806,0.003066771,0.6704925,0.00450635,0.1914324],"study_design_scores_gemma":[0.0001617839,0.001532926,0.1888624,0.001424183,0.0001841436,0.001426945,0.2876267,0.101233,0.005176743,0.3141489,0.09801441,0.0002078872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056118,0.0008096736,0.03808355,0.01187864,0.0001150247,0.0003793637,0.0000705574,0.00007727341,0.2429741],"genre_scores_gemma":[0.9905331,0.00029399,0.003943291,0.000146144,0.00001342456,0.000121984,0.00002277337,0.000005260879,0.00491998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699436,"threshold_uncertainty_score":0.03409696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3376237157093923,"score_gpt":0.3226080588685986,"score_spread":0.0150156568407937,"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."}}