{"id":"W7116853593","doi":"10.5430/wjel.v16n3p14","title":"Integrating Reader-Response–TBLT: Short-Story-Driven Gains in Vocabulary Depth, Inferencing, and Engagement among Saudi EFL Learners","year":2025,"lang":"","type":"article","venue":"World Journal of English Language","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Reading (process); Meaning (existential); Negotiation; Extensive reading; Control (management); 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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005850033,0.0005919095,0.001051767,0.002897685,0.0003245413,0.0002701213,0.0005901563,0.0003606836,0.007863514],"category_scores_gemma":[0.00670844,0.0005877876,0.000361965,0.001255233,0.0003120246,0.0004098905,0.0002334033,0.004792123,0.00001421731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004731749,"about_ca_system_score_gemma":0.0003478407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850023,"about_ca_topic_score_gemma":0.001942942,"domain_scores_codex":[0.9920607,0.004349204,0.001631429,0.0006329419,0.0004831753,0.0008425955],"domain_scores_gemma":[0.9958662,0.002009674,0.0008265185,0.0005757721,0.0003802246,0.0003416463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00228304,0.0005757309,0.1466111,0.000309425,0.001109648,0.006869016,0.6782958,0.0008929199,0.003872572,0.001191157,0.01015439,0.1478352],"study_design_scores_gemma":[0.005293554,0.0006267946,0.2119976,0.004007522,0.0004048729,0.00009084354,0.7041231,0.0004369968,0.0004858791,0.00002293186,0.07163661,0.0008733712],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123061,0.04048102,0.0003618267,0.0004659547,0.002642321,0.0003720447,0.000009009541,0.00005529747,0.04330647],"genre_scores_gemma":[0.9879076,0.0002104465,0.000673296,0.003156447,0.001009906,0.00001342264,0.00001454186,0.00007088092,0.006943397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1469618,"threshold_uncertainty_score":0.9996573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234475663941643,"score_gpt":0.3291170286524501,"score_spread":0.3056694622582858,"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."}}