{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002520067,0.0002598987,0.0002999413,0.0001966343,0.0002272213,0.00009662184,0.0003944658,0.0001584789,0.00184519],"category_scores_gemma":[0.002056064,0.0001861281,0.0002124443,0.0001368427,0.0001045706,0.00013595,0.00008014646,0.0009916779,0.000443543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008255389,"about_ca_system_score_gemma":0.00001659531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001376031,"about_ca_topic_score_gemma":0.00000899611,"domain_scores_codex":[0.9970974,0.001339108,0.0003654971,0.0003856907,0.0003608642,0.0004514916],"domain_scores_gemma":[0.9979827,0.0009093756,0.0002318416,0.0006832554,0.00003313984,0.000159619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002054849,0.0001257805,0.002699253,0.00006703281,0.0003579942,0.0003539679,0.8607531,0.00004696329,0.001262003,0.0008248182,0.002472027,0.1289822],"study_design_scores_gemma":[0.02664375,0.007788836,0.01999956,0.0008733881,0.0006962272,0.00006763254,0.9263951,0.001572947,0.003747161,0.00007730765,0.01064011,0.001497955],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601561,0.00153088,0.0000961672,0.00004342834,0.004114483,0.0002997928,0.000004907207,0.0001866528,0.03356763],"genre_scores_gemma":[0.995081,0.000001260934,0.00002917176,0.0002300906,0.0007867105,0.00002946007,0.0000591591,0.00006040205,0.003722721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274843,"threshold_uncertainty_score":0.9990672,"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."}}