{"id":"W4391284315","doi":"10.5539/ijel.v13n7p1","title":"New Developments in English for Special Purposes (ESP) Lexicology and Lexicography","year":2023,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexicography; Lexicology; Computer science; Linguistics; Natural language processing; 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":[0.003278465,0.0003632047,0.0004655582,0.004702569,0.001877204,0.01156662,0.0005704962,0.001317398,0.01017998],"category_scores_gemma":[0.004188003,0.0002219311,0.0002484053,0.005786443,0.008526378,0.01257483,0.003318828,0.00211116,0.001680107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003700929,"about_ca_system_score_gemma":0.002249543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005208241,"about_ca_topic_score_gemma":0.004847332,"domain_scores_codex":[0.9969546,0.001728233,0.0004764761,0.0002675102,0.0004136231,0.0001596945],"domain_scores_gemma":[0.9948052,0.002911411,0.0004091683,0.0004784869,0.001016646,0.0003791301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003628168,0.00002772561,0.001879831,0.0008943236,0.000009443021,0.0006634447,0.07847327,0.00008772438,0.001429469,0.6874766,0.0550149,0.174007],"study_design_scores_gemma":[0.000003956708,0.00001163065,0.0019822,0.0005456827,0.000003641571,0.0008069961,0.01953471,0.000107953,0.0002229458,0.0359612,0.9408061,0.00001305291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.05445441,0.1855566,0.01804389,0.1511159,0.007903081,0.00007748821,0.0007444155,0.0003844623,0.5817198],"genre_scores_gemma":[0.7729032,0.09093633,0.02729565,0.01574091,0.008441679,0.0001232234,0.001190423,0.0005141422,0.08285441],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01156662,"threshold_uncertainty_score":0.03405547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094203605574068,"score_gpt":0.2732114512155006,"score_spread":0.2422694151597599,"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."}}