{"id":"W4200307893","doi":"10.35307/asiantj.v1i1.21","title":"Analysis of Mobile Apps for Learning Grammar through Mobile Assisted Language Learning Approach","year":2021,"lang":"en","type":"article","venue":"Asian TESOL Journal","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Grammar; Computer science; Language acquisition; Curriculum; Multimedia; Natural language processing; World Wide Web; Artificial intelligence; Mathematics education; Linguistics; Psychology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011265,0.0002113167,0.0005198004,0.0003760227,0.0004371257,0.0003534524,0.0007389763,0.000133671,0.0001452136],"category_scores_gemma":[0.0005336423,0.0002109971,0.0004706302,0.002188946,0.00005668144,0.0005148936,0.0001584056,0.0008928516,0.00001084215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221483,"about_ca_system_score_gemma":0.0002813749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001870007,"about_ca_topic_score_gemma":0.00000528776,"domain_scores_codex":[0.9973744,0.0005308292,0.0006291295,0.0005072039,0.0004923141,0.0004660901],"domain_scores_gemma":[0.9978725,0.0003131716,0.0007157757,0.0005139103,0.0004407481,0.0001438578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001954334,0.0007847908,0.02537595,0.0001238039,0.00172556,0.00006284996,0.03349986,0.3590364,0.007682025,0.001192149,0.0007669589,0.5697301],"study_design_scores_gemma":[0.002776429,0.001814079,0.0418312,0.0002501894,0.002195091,0.001533726,0.06891777,0.7849368,0.008143358,0.001000367,0.08497301,0.001627962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08407048,0.001562471,0.9066413,0.0001283428,0.0003594228,0.0003199495,0.000002923636,0.0001379144,0.006777181],"genre_scores_gemma":[0.807595,0.00005369968,0.18969,0.00005746415,0.0001893164,0.0001556384,0.00007761578,0.00002981876,0.002151459],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7235245,"threshold_uncertainty_score":0.8604212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455306645758058,"score_gpt":0.2906928351214831,"score_spread":0.2761397686639026,"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."}}