{"id":"W3121779928","doi":"10.3968/11807","title":"English Grammatical Errors of Students in the Universities and Schools in Yemen: An Analysis","year":2020,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Syllabus; Subject (documents); Constructive; Linguistics; Grammar; English grammar; First language; Focus (optics); Mathematics education; Arabic; Language transfer; Psychology; Computer science; Language education; Comprehension approach","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":[0.0008007491,0.0003236024,0.000471999,0.00270062,0.001504273,0.000931703,0.000516428,0.0006829626,0.002047767],"category_scores_gemma":[0.002926327,0.000225808,0.0002557771,0.003270466,0.001048572,0.0009614772,0.001233721,0.0005444753,0.0004072203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680346,"about_ca_system_score_gemma":0.001313554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017121,"about_ca_topic_score_gemma":0.03188729,"domain_scores_codex":[0.9991221,0.0002015637,0.000165897,0.0001010886,0.00018377,0.0002255609],"domain_scores_gemma":[0.9974905,0.0007442257,0.0007055994,0.00008409818,0.0007988375,0.0001766714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009562739,0.0001154012,0.8881449,0.000182798,0.00001510038,0.002924488,0.08448997,0.0001008869,0.0007263957,0.0003563868,0.0009005299,0.02194757],"study_design_scores_gemma":[0.000002763908,0.0001229928,0.8940946,0.00008832212,0.00002119974,0.001024255,0.1011994,0.000192368,0.0006033966,0.00007673705,0.002558029,0.00001592561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992468,0.0001510074,0.0000272133,0.00008779478,0.000003258741,0.000004680224,0.00007335171,0.000002486965,0.0004034217],"genre_scores_gemma":[0.9986579,0.0002721279,0.00006725945,0.00003504572,0.000004603601,0.00001063473,0.0001328111,0.000003271017,0.000816184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02017121,"threshold_uncertainty_score":0.04010755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242115305071008,"score_gpt":0.3136898329327297,"score_spread":0.2894783024256289,"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."}}