{"id":"W4410411696","doi":"10.5430/wjel.v15n7p103","title":"The Impact of ChatGPT on Part-Time Translators Working with the English Language: A Threat or a Complementary Tool?","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Linguistics; Philosophy","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":[0.01684551,0.0004720832,0.00051471,0.0009859825,0.008160825,0.00967344,0.001306454,0.002051611,0.008258133],"category_scores_gemma":[0.07826232,0.0004027641,0.0005846814,0.0008968901,0.008336602,0.00648531,0.007310138,0.004054419,0.00154497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003089404,"about_ca_system_score_gemma":0.005271513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006835715,"about_ca_topic_score_gemma":0.008707914,"domain_scores_codex":[0.976349,0.01711368,0.0006172233,0.0009888748,0.003334721,0.001596517],"domain_scores_gemma":[0.9202359,0.04931387,0.01108849,0.003404798,0.006988624,0.0089683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000235232,0.0001771252,0.05609609,0.0003891082,0.00003357697,0.001852916,0.8834704,0.00006338976,0.001395168,0.004838902,0.00479232,0.0466558],"study_design_scores_gemma":[0.00001960278,0.00027719,0.02611166,0.0006492509,0.0000397247,0.001095528,0.9452139,0.0003210306,0.0005181181,0.001901714,0.02379192,0.00006028634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468019,0.001411906,0.002609774,0.0199548,0.000438275,0.00007738942,0.00005257672,0.0000659307,0.0285875],"genre_scores_gemma":[0.9912883,0.0006437274,0.0005950145,0.00348701,0.00007714132,0.00006108267,0.00002651857,0.00004091662,0.003780208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01684551,"threshold_uncertainty_score":0.08908862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050386141335799,"score_gpt":0.3773477045069055,"score_spread":0.3269615631711065,"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."}}