{"id":"W3160515017","doi":"10.5430/ijhe.v10n5p166","title":"Examining English Language Learning Apps from A Second Language Acquisition Perspective","year":2021,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bespoke; Language acquisition; Computer science; Perspective (graphical); Competence (human resources); Set (abstract data type); Second-language acquisition; Language assessment; Comprehension approach; Artificial intelligence; Mathematics education; Natural language; Linguistics; Psychology","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":[0.002147245,0.0004463001,0.0004258277,0.003471057,0.0008676788,0.003663233,0.0004904047,0.0006647694,0.001540253],"category_scores_gemma":[0.01418116,0.0002336791,0.0003067974,0.001586278,0.001084794,0.00467588,0.002143938,0.0008172745,0.0003762216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370468,"about_ca_system_score_gemma":0.001239644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075664,"about_ca_topic_score_gemma":0.002040023,"domain_scores_codex":[0.9978732,0.0007567358,0.0001711428,0.0002551623,0.0007204426,0.0002233539],"domain_scores_gemma":[0.9817522,0.01297043,0.001552692,0.0004118035,0.002866983,0.0004459378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002444314,0.0006623423,0.2970861,0.002553373,0.00007310504,0.006619984,0.3306971,0.0005607174,0.02179416,0.007704572,0.001316184,0.3306878],"study_design_scores_gemma":[0.00002428262,0.001587561,0.5171705,0.002146577,0.0001757711,0.008124633,0.3845814,0.0042234,0.01151707,0.004835878,0.06548013,0.0001327984],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874335,0.0004988414,0.003999193,0.0002283788,0.00001457706,0.0001627915,0.00009124647,0.00003564377,0.007535761],"genre_scores_gemma":[0.9915958,0.0005723423,0.005228928,0.0001171424,0.00001336641,0.0001826828,0.0001037226,0.00001660977,0.002169334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003663233,"threshold_uncertainty_score":0.01135582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008995572936705916,"score_gpt":0.2971289616609072,"score_spread":0.2881333887242013,"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."}}