{"id":"W4406726166","doi":"10.5539/elt.v18n2p42","title":"A Needs-Based Model for the Personalized Design of Academic English Teaching Materials in Engineering Education","year":2025,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Mathematics education; Teaching method; Engineering education; Pedagogy; Engineering ethics; Engineering management; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.006049436,0.000208575,0.0002890283,0.0005506534,0.0001980341,0.0001543468,0.001044321,0.0001315769,0.000006018354],"category_scores_gemma":[0.005648393,0.000178218,0.00008778635,0.0003377975,0.00002625619,0.0004031538,0.00009739912,0.0008555744,4.128053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486568,"about_ca_system_score_gemma":0.0004674119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153113,"about_ca_topic_score_gemma":0.000002778426,"domain_scores_codex":[0.9979396,0.0007516147,0.0004700707,0.0003186638,0.000201101,0.0003188819],"domain_scores_gemma":[0.9970465,0.002115751,0.0001635694,0.0005458643,0.0000752569,0.00005305729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003343462,0.0002058635,0.000235828,0.0002938522,0.00004058908,5.485573e-7,0.6490415,0.09082074,0.02560708,0.2036043,0.000574231,0.02954203],"study_design_scores_gemma":[0.0008435612,0.00002018266,0.0001072914,0.0004382248,0.00003409344,6.357822e-7,0.01499296,0.9753388,0.006051054,0.0005515795,0.00134148,0.0002801915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09805023,0.0005787463,0.8982239,0.0003299777,0.001594466,0.0005699599,0.000004360178,0.0002532931,0.0003950456],"genre_scores_gemma":[0.7136058,0.000002771757,0.2850521,0.0003761715,0.0002295974,0.0001807363,0.000007486243,0.00001782823,0.0005274827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.884518,"threshold_uncertainty_score":0.7267518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135862153135027,"score_gpt":0.3300699442295226,"score_spread":0.3087113226981723,"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."}}