{"id":"W2513228685","doi":"10.1007/978-3-319-38834-2_16","title":"Teaching Vocabulary in the EFL Context","year":2016,"lang":"en","type":"book-chapter","venue":"English language education","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Vocabulary; Vocabulary learning; Context (archaeology); Computer science; English vocabulary; Foreign language; Vocabulary development; English as a foreign language; Linguistics; Psychology; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002374819,0.0004558136,0.0002646009,0.0005594215,0.0007411004,0.00258601,0.0005409247,0.0007667884,0.01204176],"category_scores_gemma":[0.0005089192,0.0001177723,0.0001567951,0.0005418804,0.001732511,0.002550602,0.001505344,0.002256942,0.002961292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150136,"about_ca_system_score_gemma":0.002374683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00261705,"about_ca_topic_score_gemma":0.009547113,"domain_scores_codex":[0.9998581,0.00003878284,0.000004618849,0.00002417451,0.00005312642,0.00002103281],"domain_scores_gemma":[0.9998257,0.00008851208,0.000008647451,0.00001124257,0.00002463761,0.00004120962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001531789,0.0001217108,0.0004710194,0.0003927475,0.000003613873,0.0002242533,0.004010947,0.0003859602,0.002504157,0.4054569,0.05843529,0.5279781],"study_design_scores_gemma":[0.000004832214,0.00002476259,0.001045236,0.0005959486,0.000003318684,0.0003651222,0.001524554,0.0003051977,0.001079634,0.1658774,0.829165,0.00000892034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.007551658,0.03696213,0.0128016,0.005046451,0.001083307,0.00002659896,0.00005504311,0.0001760332,0.9362971],"genre_scores_gemma":[0.1551746,0.05732966,0.02157134,0.003272433,0.000892252,0.0001171322,0.0001699839,0.0002634423,0.7612091],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01204176,"threshold_uncertainty_score":0.04028368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145773559505886,"score_gpt":0.2991339422933617,"score_spread":0.2876762066983028,"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."}}