{"id":"W2100646635","doi":"10.5539/elt.v4n1p174","title":"Contribution to Vocabulary Learning via Mobiles","year":2011,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Vocabulary learning; Psychology; Vocabulary development; Recall; Visual learning; Mobile device; Realm; Multimedia; Auditory learning; Computer science; Teaching method; Mathematics education; Cognitive psychology; Experiential learning; Linguistics; World Wide Web","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":[0.0002979755,0.0002817226,0.0001940129,0.000541569,0.0003289867,0.001517365,0.0003446093,0.0003181272,0.009810897],"category_scores_gemma":[0.003203528,0.00009454805,0.0002750338,0.0002749263,0.0004347583,0.001140471,0.001492626,0.0003018576,0.001322649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971221,"about_ca_system_score_gemma":0.0004221564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006053218,"about_ca_topic_score_gemma":0.0007634207,"domain_scores_codex":[0.9996517,0.0001385929,0.00001892422,0.00004533739,0.00009924039,0.00004620475],"domain_scores_gemma":[0.9988741,0.0006129188,0.0001017608,0.00009550611,0.0001780388,0.0001375881],"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":[0.0003729416,0.0005691919,0.04379905,0.001683865,0.00006110919,0.002848254,0.01415634,0.0005147424,0.09049735,0.01457052,0.003179364,0.8277471],"study_design_scores_gemma":[0.0002075526,0.006421974,0.328494,0.001962409,0.0005593402,0.0251,0.06812655,0.006194761,0.09049408,0.05278213,0.4194601,0.0001971415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723264,0.002800647,0.01220769,0.0007695965,0.0001341095,0.00017175,0.0001666885,0.0001684658,0.1112547],"genre_scores_gemma":[0.9816304,0.001343681,0.005564991,0.00009137565,0.00005528314,0.00004544727,0.00007634991,0.00002616536,0.01116635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009810897,"threshold_uncertainty_score":0.0328207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00784808716983411,"score_gpt":0.2418707627857223,"score_spread":0.2340226756158882,"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."}}