{"id":"W3141807636","doi":"10.5539/elt.v14n4p43","title":"Exploration and Exploitation of Mobile Apps for English Language Teaching: A Critical Review","year":2021,"lang":"en","type":"review","venue":"English Language Teaching","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Inclusion (mineral); Mobile technology; Mobile device; English language; Language acquisition; Language education; Pandemic; Mathematics education; Psychology; Teaching method; Coronavirus disease 2019 (COVID-19); Computer science; Pedagogy; World Wide Web; Medicine","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003678172,0.0005193158,0.001676679,0.0003133425,0.0002449653,0.0003315934,0.000859937,0.0003015189,0.00002880213],"category_scores_gemma":[0.0228304,0.0005021608,0.0004299809,0.0003265384,0.00006096068,0.001345498,0.00032111,0.001407549,0.000004635017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628249,"about_ca_system_score_gemma":0.0002608132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002919238,"about_ca_topic_score_gemma":0.000004167593,"domain_scores_codex":[0.9950946,0.001859912,0.001129651,0.001007941,0.0004777422,0.0004301682],"domain_scores_gemma":[0.994906,0.002821666,0.0006832558,0.001185537,0.0002469335,0.000156581],"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":[5.677035e-7,0.0001056344,4.427989e-7,0.02747819,0.00003816139,0.000007720254,0.158586,0.000005296466,0.00000312715,0.007777255,0.0009965312,0.8050011],"study_design_scores_gemma":[0.0002313558,0.0001666084,1.272122e-7,0.0577068,0.0005746186,0.00002588038,0.04083096,0.0003977999,0.00001276873,0.00009823581,0.8992173,0.0007375302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006541399,0.920992,0.07435269,0.00004918019,0.001312054,0.001753141,0.00002847499,0.0003802088,0.001066839],"genre_scores_gemma":[0.0004458823,0.9293252,0.06577838,0.0001225182,0.001271365,0.002033356,0.0006281326,0.0001069604,0.0002881875],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8982208,"threshold_uncertainty_score":0.999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771346348031183,"score_gpt":0.3692548290970604,"score_spread":0.3315413656167486,"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."}}