{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005001352,0.0009596564,0.002162694,0.008623245,0.0009248133,0.002327976,0.001460675,0.001929928,0.00290475],"category_scores_gemma":[0.01427665,0.0006636167,0.002164392,0.007189794,0.001021178,0.002847137,0.001311967,0.001461272,0.0005939456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820927,"about_ca_system_score_gemma":0.007956882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567093,"about_ca_topic_score_gemma":0.007210293,"domain_scores_codex":[0.9973683,0.0008980675,0.0007665995,0.0001950448,0.0006623675,0.0001096628],"domain_scores_gemma":[0.9875023,0.009326743,0.001016582,0.0001807858,0.001821074,0.0001524326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001181711,0.000088443,0.0004045099,0.5363337,0.0007791985,0.000435541,0.001253091,0.0001563314,0.0006908707,0.002588929,0.01096498,0.4461863],"study_design_scores_gemma":[0.00004775244,0.0002916042,0.001914738,0.6320822,0.004395802,0.001643126,0.001283596,0.0001079486,0.0005280153,0.0013891,0.3562565,0.00005962779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002144472,0.9986855,0.0001011161,0.0003441845,0.0001526739,0.00006366613,0.00001843248,0.000003013434,0.0004169823],"genre_scores_gemma":[0.00143005,0.9977875,0.0002480852,0.0002788879,0.00007215387,0.00007374151,0.00001628882,0.000001752633,0.00009163146],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008623245,"threshold_uncertainty_score":0.02644998,"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."}}