{"id":"W2961715960","doi":"10.7202/1060170ar","title":"Simplified or not Simplified? The Different Guises of Mediated English at the European Parliament","year":2019,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università di Bologna; Université Catholique de Louvain","keywords":"Linguistics; Parliament; Computer science; Mediation; Perspective (graphical); Lexical density; Vocabulary; Lexical choice; Natural language processing; Artificial intelligence; Lexical item; Sociology; Political science; Philosophy; Politics","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":[0.004267849,0.0002822956,0.0004524353,0.002133167,0.002116843,0.005133863,0.0005788576,0.0007133866,0.002894754],"category_scores_gemma":[0.0177593,0.0002978991,0.0002225829,0.002033068,0.01105453,0.005539762,0.002337335,0.00115313,0.0002690245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399809,"about_ca_system_score_gemma":0.0008056394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006353,"about_ca_topic_score_gemma":0.004474002,"domain_scores_codex":[0.9913756,0.006370893,0.0003678374,0.0005971266,0.0009900311,0.0002985916],"domain_scores_gemma":[0.9912797,0.006404529,0.0006690056,0.00109464,0.0004104001,0.0001417741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002789847,0.0000495197,0.01893729,0.000605969,0.0000731426,0.00205401,0.5889771,0.0005113579,0.008052907,0.2921193,0.001784148,0.08655624],"study_design_scores_gemma":[0.00006777856,0.0002296933,0.1699865,0.001355279,0.0002139347,0.006770618,0.4705948,0.003303465,0.01576556,0.133567,0.1978739,0.0002714393],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251405,0.003053206,0.0188837,0.003350169,0.00009665424,0.00006796254,0.0002511318,0.0001214285,0.1490351],"genre_scores_gemma":[0.9976891,0.0002325863,0.0009858911,0.00009528289,0.00001957105,0.00001719444,0.0000433467,0.00004071727,0.0008761788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005133863,"threshold_uncertainty_score":0.02257085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115188942156613,"score_gpt":0.3841267416426974,"score_spread":0.2689377994860844,"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."}}