{"id":"W4414148579","doi":"10.5539/elt.v18n10p26","title":"Context Clue Strategies for Business English Vocabulary and Engagement Among EFL Undergraduates","year":2025,"lang":"en","type":"article","venue":"English Language Teaching","topic":"English Language Learning and Teaching","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Business English; Context (archaeology); Comprehension; Perception; Reading comprehension; Vocabulary development; Vocabulary learning","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002357838,0.0004037155,0.0004309812,0.0003584338,0.0008349957,0.001409796,0.0009198968,0.0001705085,0.00000675846],"category_scores_gemma":[0.004392046,0.0003906339,0.0001200956,0.0003885985,0.0001074071,0.001608676,0.000528854,0.00116955,0.000001612118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009111929,"about_ca_system_score_gemma":0.000136211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005492145,"about_ca_topic_score_gemma":0.000196814,"domain_scores_codex":[0.9972221,0.0005899106,0.0004312444,0.0008410006,0.0002867003,0.0006290384],"domain_scores_gemma":[0.9975082,0.001208883,0.0001675048,0.000769369,0.0002170318,0.0001290388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002084512,0.0001473973,0.004194667,0.0004044578,0.0002061269,0.00008811731,0.5242797,0.0008371693,0.0004643906,0.303158,0.002286649,0.1639125],"study_design_scores_gemma":[0.00652145,0.0003132608,0.009290148,0.001946693,0.0002823846,0.000016497,0.8755824,0.03979354,0.001691346,0.01102678,0.05080742,0.002728049],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5999618,0.002713702,0.3769184,0.0003457092,0.00161794,0.0005168716,0.000007179554,0.00151024,0.01640816],"genre_scores_gemma":[0.9782665,0.00001718854,0.01939885,0.0006294452,0.0006196598,0.00009068583,0.00003798442,0.00004089698,0.0008988348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3783047,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009405708742908837,"score_gpt":0.2590420188190176,"score_spread":0.2496363100761088,"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."}}