{"id":"W2792122315","doi":"10.5539/ijel.v8n4p96","title":"Role of Content Schema in Reading Comprehension Among Saudi EFL Students: EFL Teachers’ Perspective and Use of Appropriate Classroom Strategies","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Reading and Literacy Development","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Psychology; Mathematics education; Brainstorming; Reading (process); Schema (genetic algorithms); Comprehension; Likert scale; Perspective (graphical); Pedagogy; Computer science; Linguistics; Developmental psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005111967,0.0001364029,0.0003331933,0.0003413501,0.00002264489,0.00007941973,0.0002978219,0.00009532604,0.0000310722],"category_scores_gemma":[0.009226236,0.0001223088,0.00007050086,0.00008991938,0.0002094003,0.0001246427,0.0000914158,0.0003124606,0.00000114458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498429,"about_ca_system_score_gemma":0.00006796776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003582432,"about_ca_topic_score_gemma":0.00003068185,"domain_scores_codex":[0.9982439,0.0001095844,0.0008276704,0.0001685229,0.0005050196,0.0001452531],"domain_scores_gemma":[0.986904,0.0003143526,0.0007893157,0.0001168229,0.01181043,0.0000650976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008732645,0.0007696084,0.8487038,0.00002275552,0.001018481,0.0000697073,0.1097768,0.00009297451,0.001884624,0.03429466,0.0006118309,0.001881553],"study_design_scores_gemma":[0.003390804,0.0006188424,0.8944671,0.00123141,0.00008929447,0.00001416885,0.080605,0.00018237,0.002380191,0.003962006,0.01279368,0.0002651568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874117,0.0002270089,0.0001902053,0.000009875192,0.003733766,0.00008851986,0.00001291868,0.00000752145,0.008318525],"genre_scores_gemma":[0.9951041,0.00004466706,0.003214767,0.00002006184,0.001473777,0.000001484439,0.000003598273,0.00001480716,0.0001227376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04576329,"threshold_uncertainty_score":0.9991195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03525615181007004,"score_gpt":0.3417321719775204,"score_spread":0.3064760201674503,"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."}}