{"id":"W2555962247","doi":"10.5539/ijel.v6n6p147","title":"Translations of Journalistic Texts in Iranian Undergraduate Students: An Error Analysis Approach","year":2016,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persian; Categorization; Terminology; Target text; Grammar; Linguistics; Error analysis; Test (biology); Computer science; Translation (biology); Source text; Mathematics education; Natural language processing; Psychology; Artificial intelligence; Mathematics","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":[0.00919593,0.0005209596,0.0005001423,0.005216106,0.001290181,0.002054267,0.0006688356,0.0006784533,0.0007826377],"category_scores_gemma":[0.06124743,0.0002995869,0.0005192393,0.004691269,0.001197204,0.001501465,0.001414863,0.0008649048,0.0002937549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271566,"about_ca_system_score_gemma":0.001497219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400849,"about_ca_topic_score_gemma":0.003787458,"domain_scores_codex":[0.9888244,0.005458669,0.001864525,0.0008659611,0.002645567,0.0003408151],"domain_scores_gemma":[0.9090593,0.05604427,0.01270855,0.003309974,0.01825898,0.0006187978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009462128,0.0009449246,0.5338514,0.0007031347,0.0002179265,0.002493994,0.2142926,0.001667673,0.01237021,0.002477415,0.00136742,0.2286671],"study_design_scores_gemma":[0.00008306632,0.001799455,0.6753388,0.0004898047,0.0004612458,0.004267833,0.2133839,0.04793036,0.03840431,0.006109346,0.01150389,0.0002279851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932731,0.00008014419,0.005256672,0.0001013818,0.00001706549,0.00008185407,0.0000928282,0.00003098296,0.00106592],"genre_scores_gemma":[0.9848396,0.0001327885,0.01374012,0.00003939889,0.00001565087,0.0001085908,0.0002761239,0.00002651506,0.0008211888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00919593,"threshold_uncertainty_score":0.04863328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623955791545394,"score_gpt":0.3403568084982765,"score_spread":0.2841172505828226,"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."}}