{"id":"W1535068680","doi":"10.5539/elt.v8n9p104","title":"The Use of Humourous Texts in Improving ESL Learners’ Vocabulary Comprehension and Retention","year":2015,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Humor Studies and Applications","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Test (biology); Reading comprehension; Psychology; Vocabulary development; Session (web analytics); Reading (process); Comprehension; Word recognition; Linguistics; Mathematics education; Teaching method; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005721371,0.00008177954,0.0001199114,0.00004669984,0.0001567005,0.00003931411,0.00009091527,0.00004614784,0.000007565387],"category_scores_gemma":[0.0004322805,0.00006254578,0.00002707582,0.00006796071,0.00005832461,0.00006081203,0.00009859548,0.0003262938,0.000004491859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002308638,"about_ca_system_score_gemma":0.00000682324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360685,"about_ca_topic_score_gemma":0.0002342482,"domain_scores_codex":[0.9991337,0.0002178783,0.000195382,0.0001807801,0.0001002828,0.0001719747],"domain_scores_gemma":[0.9993547,0.0002251342,0.00009171233,0.0002658833,0.00001899998,0.00004358785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006358037,0.0001510476,0.01216432,0.00002301235,0.00004531521,0.00005021653,0.7518857,0.00008844292,0.005503932,0.01297725,0.002589691,0.2144575],"study_design_scores_gemma":[0.002889626,0.0002856679,0.04246042,0.0001346735,0.00007468676,0.00003764902,0.8775135,0.002443984,0.0001964723,0.0002535796,0.07318018,0.0005295759],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926982,0.001695196,0.0001796491,0.00009404054,0.0002134401,0.0001706096,0.000003361716,0.0000526904,0.004892817],"genre_scores_gemma":[0.9986602,0.000009623946,0.0005981395,0.0000492627,0.0001164899,0.00001646996,0.000008096592,0.00001410399,0.0005276189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139279,"threshold_uncertainty_score":0.2550543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629921328755829,"score_gpt":0.313205592127957,"score_spread":0.2569063788403987,"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."}}