{"id":"W1778931168","doi":"10.3968/6939","title":"Study of Language Features of Business English","year":2015,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business English; Rhetoric; Globalization; Linguistics; English language; Economic globalization; Process (computing); Business; Computer science; Economics; Market economy","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":[0.0008347947,0.0001808716,0.0002316352,0.001804527,0.001369896,0.003558432,0.0002986829,0.0003923121,0.004214789],"category_scores_gemma":[0.005216131,0.0001278788,0.0001386968,0.001857953,0.00228782,0.005639582,0.001104946,0.0008241228,0.0003775515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008001701,"about_ca_system_score_gemma":0.0006153188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009878037,"about_ca_topic_score_gemma":0.0008249686,"domain_scores_codex":[0.9987882,0.0007013596,0.00006516292,0.00009992548,0.000218555,0.0001268793],"domain_scores_gemma":[0.994136,0.00418899,0.0005987018,0.0001738244,0.0006559669,0.0002465725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000225771,0.0002482974,0.0448273,0.0009354273,0.00003633921,0.003144744,0.2638567,0.0003684582,0.0116179,0.5534943,0.003771809,0.1174729],"study_design_scores_gemma":[0.00003751979,0.0003494154,0.1863999,0.001089841,0.00008765553,0.006661308,0.493316,0.005687125,0.00641646,0.1572692,0.1425575,0.0001282767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080186,0.002634767,0.006566303,0.002196103,0.00006438897,0.00004625338,0.0001146378,0.0000259931,0.1803329],"genre_scores_gemma":[0.9978138,0.0002924994,0.0004063552,0.0000425358,0.00002702951,0.00001162029,0.00002892151,0.00001069754,0.00136662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004214789,"threshold_uncertainty_score":0.0140999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06035686128384617,"score_gpt":0.3535989295392808,"score_spread":0.2932420682554346,"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."}}