{"id":"W4384928505","doi":"10.1075/jerpp.00013.hab","title":"AI-mediated English for research publication purposes","year":2023,"lang":"en","type":"article","venue":"Journal of English for Research Publication Purposes","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Title page; World Wide Web; Library science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04478059,0.001253408,0.001560235,0.006310565,0.003597424,0.01908553,0.003865478,0.007183656,0.1046511],"category_scores_gemma":[0.2262017,0.0006392953,0.001225556,0.003714588,0.008392639,0.01743961,0.007472453,0.009806168,0.0385573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003019518,"about_ca_system_score_gemma":0.006541663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006716205,"about_ca_topic_score_gemma":0.00112921,"domain_scores_codex":[0.9368703,0.03185689,0.009657674,0.003175451,0.01654767,0.001892005],"domain_scores_gemma":[0.5538763,0.3047195,0.02185784,0.0378013,0.07061303,0.01113184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009203173,0.00007731481,0.0001175916,0.003676196,0.00005791275,0.0003900685,0.002102057,0.0000831634,0.00210335,0.1039068,0.7940959,0.09329753],"study_design_scores_gemma":[0.00001301867,0.00002233727,0.0001753455,0.0008948855,0.00001305262,0.0001687071,0.0003114238,0.0001388046,0.0005110558,0.007783094,0.9899489,0.00001947325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.001027162,0.02636705,0.01790215,0.2163675,0.5995282,0.0002970188,0.0007304005,0.001235607,0.136545],"genre_scores_gemma":[0.04076854,0.04184612,0.016838,0.112955,0.5099925,0.001076075,0.001199646,0.003000216,0.272324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1046511,"threshold_uncertainty_score":0.3500929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1410917601999685,"score_gpt":0.4604054938852358,"score_spread":0.3193137336852673,"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."}}