{"id":"W2789286664","doi":"10.5539/elt.v11n4p107","title":"Contextual Clues Vocabulary Strategies Choice among Business Management Students","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Psychology; Variety (cybernetics); Meaning (existential); Contextual learning; Class (philosophy); Cognition; Reading (process); Vocabulary development; Cognitive strategy; Cognitive psychology; Teaching method; Mathematics education; Linguistics; Computer science; 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":[0.001040148,0.0003330022,0.0003666051,0.0008772776,0.0006928434,0.003073915,0.0005498072,0.0008344083,0.003765811],"category_scores_gemma":[0.005013513,0.0002637347,0.0002354618,0.0004083058,0.0007354639,0.001264057,0.001056743,0.000865538,0.000926376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504342,"about_ca_system_score_gemma":0.000669711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241676,"about_ca_topic_score_gemma":0.00168041,"domain_scores_codex":[0.998976,0.000239192,0.00009605206,0.0001553852,0.0003220913,0.0002111889],"domain_scores_gemma":[0.9977174,0.0007349002,0.0005305468,0.00009493248,0.0003688839,0.0005533124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007016304,0.002705865,0.7361873,0.0002869114,0.00005087712,0.003141011,0.1236239,0.0004192854,0.02671022,0.002127735,0.0008608783,0.1031845],"study_design_scores_gemma":[0.00008461274,0.005491714,0.5351658,0.0003945036,0.0001223078,0.005297931,0.4075142,0.003687517,0.01674142,0.005414078,0.01988864,0.000197303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992667,0.00005582576,0.0001361188,0.00003821452,0.000002249456,0.000007470821,0.000006781552,0.000002286757,0.000484317],"genre_scores_gemma":[0.9977586,0.0001183599,0.0003011863,0.00002504061,0.000001599264,0.000010536,0.00001833045,0.000003094871,0.001763323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003765811,"threshold_uncertainty_score":0.01259792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009772800190360743,"score_gpt":0.3285333407230962,"score_spread":0.3187605405327354,"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."}}