{"id":"W2179899689","doi":"10.5539/elt.v8n12p112","title":"The Effect of Authentic Versus Non-Authentic Texts on Upper Intermediate Iranian EFL Learners’ Vocabulary Retention","year":2015,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Vocabulary; Selection (genetic algorithm); Test (biology); Mathematics education; Vocabulary development; Teaching method; Pedagogy; Linguistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144003,0.0002678406,0.0003251989,0.0004116897,0.000337054,0.001285075,0.0003463698,0.0003768679,0.004707588],"category_scores_gemma":[0.01714859,0.00008683965,0.0002944272,0.0002323399,0.0005261001,0.0009240659,0.0006058848,0.0005950196,0.0006279214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981406,"about_ca_system_score_gemma":0.0004261219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008487821,"about_ca_topic_score_gemma":0.0008566598,"domain_scores_codex":[0.9991664,0.0002324458,0.0001011604,0.0001089715,0.0002958041,0.00009540623],"domain_scores_gemma":[0.9865764,0.008433019,0.002157756,0.0004115785,0.001360244,0.001060868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007477589,0.007526224,0.4355222,0.001308085,0.0002952748,0.001548344,0.06803185,0.0006205453,0.08656513,0.0009110826,0.001164054,0.3890297],"study_design_scores_gemma":[0.0001468741,0.01354599,0.9110174,0.0002623175,0.0003360106,0.0007672046,0.03956174,0.0009281791,0.02808181,0.001105884,0.004166945,0.00007966626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985656,0.00009482762,0.00007845854,0.00002670036,0.000004952512,0.000006782989,0.0000114351,0.00000578844,0.001205408],"genre_scores_gemma":[0.9987081,0.00009946995,0.0002584065,0.00002058668,0.000006564015,0.00001301209,0.00002395025,0.000004913548,0.0008649863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004707588,"threshold_uncertainty_score":0.01574838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307976773848299,"score_gpt":0.3011441822447968,"score_spread":0.2880644145063138,"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."}}