{"id":"W2725515222","doi":"10.5539/elt.v10n8p32","title":"The Effect of Vocabulary Self -Selection Strategy and Input Enhancement Strategy on the Vocabulary Knowledge of Iranian EFL Learners","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Selection (genetic algorithm); Psychology; Vocabulary learning; Session (web analytics); Vocabulary development; Mathematics education; Computer science; Linguistics; Teaching method; Artificial intelligence","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":[0.0005131754,0.0003326503,0.0002705666,0.0002799829,0.000129648,0.0004100251,0.0002308434,0.0002429313,0.001358639],"category_scores_gemma":[0.0031121,0.00007453952,0.0002211653,0.0001158491,0.0002058967,0.0003094247,0.0002369672,0.0003390056,0.0001672627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498676,"about_ca_system_score_gemma":0.0004207577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000651993,"about_ca_topic_score_gemma":0.0008388067,"domain_scores_codex":[0.9996512,0.00008383935,0.000025227,0.00005463184,0.0001353281,0.00004970549],"domain_scores_gemma":[0.9981105,0.0009449148,0.0003233501,0.00007409662,0.0002369365,0.0003102086],"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":[0.003303379,0.01893395,0.3901008,0.0009439869,0.000247932,0.0007846556,0.008824821,0.001014747,0.1156451,0.0007460639,0.0005780288,0.4588766],"study_design_scores_gemma":[0.0002702917,0.01929762,0.9387195,0.0001171786,0.0002835087,0.0006033264,0.003611803,0.001852916,0.03200548,0.0007551505,0.002441927,0.00004132979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991861,0.00007222946,0.00008315304,0.00001241993,0.000002021206,0.000009905552,0.000003832518,0.000002621208,0.000627671],"genre_scores_gemma":[0.9983073,0.0001484914,0.0007603533,0.00001815298,0.0000038056,0.00002194467,0.00002095917,0.000001516937,0.0007174881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001358639,"threshold_uncertainty_score":0.004545093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120979899225025,"score_gpt":0.3107322750573262,"score_spread":0.2995224760650759,"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."}}