{"id":"W2765435024","doi":"10.5539/elt.v10n12p24","title":"The Representation of Bilingual Mental Lexicon and English Vocabulary Acquisition","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":"Fundamental Research Funds for the Central Universities","keywords":"Mental lexicon; Vocabulary; Psychology; Linguistics; Lexicon; Mental representation; Representation (politics); Vocabulary development; English vocabulary; Cognition","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":[0.001063607,0.0001414493,0.0001795011,0.00007313037,0.001020727,0.0002483032,0.0003082987,0.0001015635,0.001622641],"category_scores_gemma":[0.001708508,0.0001150169,0.00007891272,0.0000343022,0.0001739585,0.0003327235,0.0001246292,0.0004508796,0.00001071858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002336181,"about_ca_system_score_gemma":0.000017076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004186621,"about_ca_topic_score_gemma":0.0000318335,"domain_scores_codex":[0.9985696,0.000399813,0.0002791718,0.0003105961,0.0001905189,0.000250295],"domain_scores_gemma":[0.9984593,0.0003417149,0.0003243112,0.0007539682,0.00005443575,0.00006624476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001335261,0.0000775017,0.00555124,0.00001759823,0.0001170134,0.00008993087,0.8524487,0.000005140859,0.006214868,0.009264389,0.0009810806,0.125099],"study_design_scores_gemma":[0.002637134,0.0001910282,0.03471882,0.0001086331,0.00007586676,0.00005108437,0.9485411,0.0001890093,0.006341266,0.0001772644,0.006545306,0.0004235096],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437994,0.003676712,0.0000803673,0.00009886391,0.001532884,0.0001827221,0.00001166484,0.0001246357,0.05049279],"genre_scores_gemma":[0.9968556,0.00001013194,0.0001822836,0.0003252753,0.001202816,0.00001138619,0.00005521509,0.00002621313,0.001331119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1246755,"threshold_uncertainty_score":0.99929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418629287369323,"score_gpt":0.3373506062302988,"score_spread":0.3231643133566056,"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."}}