{"id":"W4220775215","doi":"10.5430/wjel.v12n2p405","title":"ESP for Interpreters and Translators: Foreign Language Provision or Integrated Education?","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpreter; Competence (human resources); English for specific purposes; Needs analysis; Foreign language; Computer science; Specialty; Philology; Medical education; Pedagogy; Knowledge management; Engineering management; Mathematics education; Psychology; Sociology; Engineering; Medicine","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":[0.002924609,0.0002409797,0.0003227195,0.0003858458,0.001658566,0.004536657,0.000743637,0.001395405,0.008108558],"category_scores_gemma":[0.005735302,0.0001756899,0.0002309317,0.0006864599,0.002419143,0.004593567,0.004584157,0.00148537,0.0008337128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383716,"about_ca_system_score_gemma":0.004539765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000367,"about_ca_topic_score_gemma":0.002055592,"domain_scores_codex":[0.9977258,0.001213509,0.00009502902,0.0001807575,0.0002225739,0.0005624131],"domain_scores_gemma":[0.9973314,0.001039554,0.000326594,0.0001729041,0.0002883697,0.0008412178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000344994,0.001708312,0.04485844,0.002104973,0.00002811626,0.003240576,0.3954438,0.0003916065,0.003309379,0.08490286,0.006705184,0.4569618],"study_design_scores_gemma":[0.00004659766,0.0008908804,0.05194447,0.001958187,0.00003830341,0.002257999,0.8262672,0.0006342334,0.001533236,0.01605897,0.09834051,0.00002941921],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610898,0.002923302,0.004183138,0.01325304,0.0002368673,0.0001244559,0.00003964044,0.00003729949,0.1181125],"genre_scores_gemma":[0.9885738,0.0009846021,0.001518749,0.0008466559,0.00005958425,0.00006780263,0.00002161554,0.000007473122,0.007919638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008108558,"threshold_uncertainty_score":0.02712584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040353132719021,"score_gpt":0.2513958105338705,"score_spread":0.2409922792066803,"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."}}