{"id":"W1960166754","doi":"10.5539/elt.v6n5p44","title":"Emerging Vocabulary Learning: From a Perspective of Activities Facilitated by Mobile Devices","year":2013,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Vocabulary; Situated learning; Software portability; Computer science; Language acquisition; Perspective (graphical); Mobile device; Categorization; Context (archaeology); Knowledge management; Psychology; Pedagogy; Mathematics education; Artificial intelligence; World Wide Web; Linguistics","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":[0.001053459,0.0003964822,0.0002967477,0.001544242,0.001561952,0.007754352,0.001062812,0.001350631,0.002297514],"category_scores_gemma":[0.002229433,0.000170229,0.0003457939,0.001189478,0.006470419,0.007532276,0.003537721,0.001293231,0.0004557325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652987,"about_ca_system_score_gemma":0.00135934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090096,"about_ca_topic_score_gemma":0.002699815,"domain_scores_codex":[0.9986604,0.0008269049,0.00004760951,0.0001429904,0.0001827607,0.0001393034],"domain_scores_gemma":[0.9984268,0.0009771372,0.0001419467,0.00009908656,0.0001333575,0.0002217649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000710618,0.000103911,0.007599852,0.000626688,0.00001841933,0.001822491,0.1644948,0.001350085,0.001983277,0.7316626,0.001758042,0.08850878],"study_design_scores_gemma":[0.00004679155,0.0003687533,0.01117187,0.002015468,0.00004889012,0.004001372,0.3062184,0.007467683,0.002321657,0.3120819,0.3541905,0.00006669683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3190736,0.01764983,0.1992062,0.01531421,0.0003972616,0.0001984042,0.0002086541,0.000194131,0.4477577],"genre_scores_gemma":[0.961776,0.006052017,0.02155037,0.0005237851,0.0001275038,0.0001373431,0.00007398873,0.00003864579,0.009720384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007754352,"threshold_uncertainty_score":0.01199329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004849147592413598,"score_gpt":0.2453013846679888,"score_spread":0.2404522370755752,"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."}}