{"id":"W2996082419","doi":"10.5539/elt.v13n1p51","title":"Telegram App in Learning English: EFL Students’ Perceptions","year":2019,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Perception; Mobile device; Vocabulary; Mathematics education; Vocabulary learning; Data collection; English vocabulary; Language acquisition; English language; Medical education; Pedagogy; Computer science; Linguistics; World Wide Web; Sociology","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":[0.001261169,0.0002467353,0.0003104293,0.0006265252,0.00108184,0.002893856,0.0002904681,0.0007486573,0.005373035],"category_scores_gemma":[0.004437773,0.0001694355,0.000265206,0.000361884,0.0007320951,0.00118112,0.001387258,0.001088995,0.0008485322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004056092,"about_ca_system_score_gemma":0.0007804158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201015,"about_ca_topic_score_gemma":0.003096536,"domain_scores_codex":[0.9991282,0.0002282621,0.00006195898,0.00006986594,0.0002988782,0.0002128996],"domain_scores_gemma":[0.9962298,0.0009423971,0.0007398138,0.00006320234,0.0006325996,0.00139215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002724195,0.003271988,0.6988007,0.0004541639,0.00004073724,0.002645434,0.2070182,0.0001149698,0.01218369,0.0006374475,0.002355474,0.07220468],"study_design_scores_gemma":[0.00003535357,0.002087785,0.4043673,0.0002489128,0.00006472689,0.001961732,0.5735317,0.0006285903,0.002232148,0.0003245778,0.0144512,0.00006597451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982407,0.00007675916,0.0000701667,0.0001819561,0.00000796561,0.0000117406,0.00001133508,0.000003102917,0.001396178],"genre_scores_gemma":[0.9979458,0.0001904178,0.0001177104,0.0001912334,0.000006774643,0.00001213195,0.00001410287,0.000002220427,0.001519576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005373035,"threshold_uncertainty_score":0.01797456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004731848215036487,"score_gpt":0.2698917677602628,"score_spread":0.2651599195452263,"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."}}