{"id":"W4286945641","doi":"10.5430/wjel.v12n6p176","title":"The Impact of Implementing Contextual Guessing Strategy on Improving EFL Learners’ Vocabulary Competence and Reading Comprehension","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Reading comprehension; Competence (human resources); Significant difference; Computer science; Mathematics education; Comprehension; Psychology; Linguistics; Reading (process); Mathematics; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006129395,0.0005555024,0.0006161072,0.0003500836,0.0002279376,0.000343012,0.0003301282,0.0005572591,0.001951073],"category_scores_gemma":[0.002875454,0.0001475282,0.0003823484,0.0001555991,0.0003105886,0.0004443573,0.0003534271,0.0005004077,0.0002594878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049595,"about_ca_system_score_gemma":0.0004070854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004128552,"about_ca_topic_score_gemma":0.0006508423,"domain_scores_codex":[0.9994605,0.0001875984,0.00006992052,0.0001044951,0.00009135319,0.00008607132],"domain_scores_gemma":[0.9986925,0.000651303,0.0002376183,0.0001221443,0.0001246171,0.0001718863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01847489,0.05930708,0.03692975,0.003959296,0.0004210107,0.00102139,0.005311216,0.00146926,0.2074831,0.0007821725,0.001073062,0.6637679],"study_design_scores_gemma":[0.004898431,0.3305779,0.4207529,0.001140079,0.002974277,0.001611852,0.008256734,0.005398757,0.2089955,0.001431398,0.01372119,0.0002409345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977957,0.0004464497,0.0008241566,0.00007786232,0.00003545854,0.0001475123,0.0000219071,0.00003539073,0.0006155435],"genre_scores_gemma":[0.9915938,0.0007973452,0.006395147,0.00006236512,0.00003803754,0.0002099452,0.00006661334,0.000008207873,0.0008284696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001951073,"threshold_uncertainty_score":0.006526947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354150912482553,"score_gpt":0.3244631966032971,"score_spread":0.3009216874784716,"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."}}