{"id":"W2768848403","doi":"10.1111/weng.12284","title":"The use of English in the professional world in China","year":2017,"lang":"en","type":"article","venue":"World Englishes","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Mainland China; Government (linguistics); Quarter (Canadian coin); Unit (ring theory); Public relations; Political science; Psychology; Medical education; Geography; Medicine; Mathematics education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001087322,0.0001821117,0.0001703135,0.00139549,0.001569158,0.001272773,0.0002572148,0.000204237,0.002394422],"category_scores_gemma":[0.001638465,0.0001211359,0.0001039037,0.001417656,0.001065944,0.0007168312,0.0009285202,0.000249929,0.0001113002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000964046,"about_ca_system_score_gemma":0.001736117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03669131,"about_ca_topic_score_gemma":0.05635299,"domain_scores_codex":[0.9993037,0.0001966784,0.00005661729,0.00007141727,0.0001749055,0.0001967756],"domain_scores_gemma":[0.9978555,0.0003868751,0.000628409,0.00006909819,0.0003669636,0.000693118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006508171,0.00008386916,0.8225139,0.0001729904,0.00002417294,0.001227718,0.1457061,0.00005540326,0.002613816,0.001145787,0.0007474963,0.02564359],"study_design_scores_gemma":[0.000004007068,0.00007681891,0.8994525,0.00008323891,0.00001082461,0.0002961942,0.09535406,0.000202069,0.0002884862,0.0001422829,0.004072939,0.00001649501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984292,0.000121638,0.00001784991,0.0001092258,0.000003594956,0.000003572083,0.00002346051,7.779518e-7,0.001290636],"genre_scores_gemma":[0.9992604,0.0001414979,0.00002378096,0.00003248079,0.000002607764,0.000002529041,0.0000223641,6.350908e-7,0.0005137446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03669131,"threshold_uncertainty_score":0.07295549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052186883826799,"score_gpt":0.4364970983852728,"score_spread":0.3312784100025928,"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."}}