{"id":"W4400138392","doi":"10.5539/ass.v20n4p12","title":"Emergency Language Services in the China-Myanmar Borderland: A Case of Multilingual Translation Center at Mengding","year":2024,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Ethnic group; Language barrier; Pandemic; Political science; Public health; Multilingualism; Economic growth; Coronavirus disease 2019 (COVID-19); Medicine; Sociology; Nursing; Economics; Law","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":[0.0009614991,0.0005308535,0.0003062585,0.0004573183,0.01282348,0.00207479,0.001275433,0.002299229,0.005484515],"category_scores_gemma":[0.002288659,0.0004858933,0.0003355889,0.0007022741,0.00275904,0.001524739,0.004229814,0.002798717,0.0003627022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004757317,"about_ca_system_score_gemma":0.006179859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03199522,"about_ca_topic_score_gemma":0.06180161,"domain_scores_codex":[0.9988012,0.0004634438,0.00004286173,0.0000824641,0.00006710046,0.0005428055],"domain_scores_gemma":[0.9982774,0.0002856978,0.0002725662,0.00006089974,0.00007345036,0.001030034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001960917,0.0005256457,0.1585144,0.0002799612,0.00005047278,0.4983237,0.3009439,0.000702423,0.00254714,0.01335782,0.007660177,0.01689829],"study_design_scores_gemma":[0.00003778151,0.0003444729,0.0549391,0.0003990472,0.00005485143,0.08144744,0.826978,0.002868083,0.001041803,0.002580258,0.02920919,0.0001000356],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923499,0.0002141871,0.000181896,0.004294099,0.00004294869,0.00003253105,0.00001357286,0.000008042606,0.002862759],"genre_scores_gemma":[0.9963169,0.0002457112,0.0001799222,0.001152052,0.00002714632,0.0000313834,0.00001326059,0.000008526268,0.002024858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03199522,"threshold_uncertainty_score":0.06361794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102883400022332,"score_gpt":0.4713958202474359,"score_spread":0.4303669862472125,"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."}}