{"id":"W2901297050","doi":"10.1556/084.2018.19.2.5","title":"How to approach translation in a financial news corpus?","year":2018,"lang":"en","type":"article","venue":"Across Languages and Cultures","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Montréal","funders":"","keywords":"Newspaper; Corpus linguistics; Translation (biology); Relation (database); Linguistics; Translation studies; Computer science; Advertising; Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04115063,0.001849479,0.002470668,0.01541557,0.004692765,0.01528131,0.003759573,0.004144626,0.009595068],"category_scores_gemma":[0.150573,0.002060548,0.001883882,0.0179552,0.0053006,0.02426738,0.01070229,0.006056451,0.006615537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003625966,"about_ca_system_score_gemma":0.007032013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007268463,"about_ca_topic_score_gemma":0.00734257,"domain_scores_codex":[0.9512018,0.03507603,0.004152846,0.004785367,0.004132251,0.0006516853],"domain_scores_gemma":[0.8935286,0.06743171,0.004038748,0.01626156,0.01748477,0.001254705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002898341,0.0003267777,0.007037487,0.005780534,0.0005753465,0.001320977,0.02210062,0.005852066,0.009862665,0.2000713,0.04853722,0.6982452],"study_design_scores_gemma":[0.0002688142,0.0002105246,0.007421134,0.002864629,0.000332693,0.001986175,0.03046213,0.04853285,0.0112786,0.4748774,0.4213629,0.0004021437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01524612,0.006162219,0.9324817,0.01681913,0.002523446,0.001510872,0.005780586,0.003466671,0.01600934],"genre_scores_gemma":[0.05764715,0.002402069,0.9197248,0.002212274,0.0008727603,0.003725952,0.008323645,0.001464755,0.003626482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04115063,"threshold_uncertainty_score":0.2176279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350581049731255,"score_gpt":0.3138604127573024,"score_spread":0.3003546022599899,"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."}}