{"id":"W4415567677","doi":"10.5539/elt.v18n11p134","title":"Corpus-informed Dynamic Assessment of Content and Language in a Business English Course","year":2025,"lang":"","type":"article","venue":"English Language Teaching","topic":"Educational and Psychological Assessments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business English; Discipline; Vocabulary; English for academic purposes; Variety (cybernetics); Language acquisition; Vocabulary development; Sociocultural evolution; Literacy; Content analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001829779,0.0005264871,0.0009027575,0.0004976866,0.0001650914,0.0001300082,0.0005589169,0.0004222785,0.0007807855],"category_scores_gemma":[0.001768163,0.0004961488,0.0001478546,0.0007415368,0.0002673429,0.0002682695,0.0002465042,0.001599498,0.000006130734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003150159,"about_ca_system_score_gemma":0.0004708577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436927,"about_ca_topic_score_gemma":0.0005781595,"domain_scores_codex":[0.9959207,0.0008559971,0.001217416,0.0008544963,0.0004198505,0.0007315585],"domain_scores_gemma":[0.9969841,0.001344723,0.0005056711,0.0007359065,0.0002524789,0.0001771378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002889448,0.005326215,0.2964993,0.001077199,0.0006658802,0.0002391877,0.5740095,0.00004065733,0.002422035,0.0319983,0.001006162,0.08642659],"study_design_scores_gemma":[0.003836422,0.0001508465,0.6642531,0.001029334,0.0001411687,0.000006274307,0.32714,0.0002197843,0.00002209801,0.0001128073,0.002648383,0.0004397082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8735801,0.007086667,0.0002290847,0.0005196034,0.004649374,0.0008050288,0.0001497607,0.00009778987,0.1128826],"genre_scores_gemma":[0.9911707,0.0002593601,0.001200714,0.0007130434,0.0003298876,0.0001155206,0.000212018,0.00003808155,0.005960687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677538,"threshold_uncertainty_score":0.999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192888869762377,"score_gpt":0.3883507335471497,"score_spread":0.369061846570912,"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."}}