{"id":"W2411645283","doi":"10.5430/wjel.v6n2p10","title":"English for Academic Purposes: A New Perspective from Multiple Literacies","year":2016,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"English for academic purposes; Discipline; Literacy; Jargon; Perspective (graphical); Context (archaeology); Sociology; Computer science; Mathematics education; Information literacy; Pedagogy; Linguistics; Psychology; Social science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000399967,0.0001952947,0.0003420079,0.0003100328,0.0001703818,0.0002071176,0.0003400898,0.00005869888,0.003100126],"category_scores_gemma":[0.00661473,0.0001249557,0.0002820852,0.00005347601,0.0000898408,0.0007293689,0.00003739377,0.0005358021,0.00001281602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080773,"about_ca_system_score_gemma":0.00007301452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005900849,"about_ca_topic_score_gemma":0.001665021,"domain_scores_codex":[0.9987384,0.0000903732,0.0004433471,0.0002024603,0.0002232748,0.0003021394],"domain_scores_gemma":[0.9972501,0.001234088,0.0004113135,0.0001835419,0.0007583982,0.000162546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001692588,0.00003938671,0.0005497199,0.00001054549,0.0001705988,0.0000439346,0.9197864,0.000003042508,0.0006346469,0.0160918,0.01727631,0.04522439],"study_design_scores_gemma":[0.00199667,0.0001161046,0.00007408246,0.000370765,0.00007764795,0.000003456692,0.2791507,0.000004597029,0.0005639634,0.0009625024,0.7164607,0.0002187832],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329959,0.01645806,0.0004362543,0.0007408653,0.005388503,0.0002679825,0.0002229742,0.0001922436,0.04329726],"genre_scores_gemma":[0.9460541,0.00003492893,0.0007714239,0.0004295764,0.02226506,0.000005168672,0.00000822425,0.00004395665,0.03038757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6991844,"threshold_uncertainty_score":0.9978112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916086026419549,"score_gpt":0.2588714401800655,"score_spread":0.23971057991587,"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."}}