{"id":"W2898720598","doi":"10.5539/elt.v11n12p1","title":"Integrating Mobile Phones in Teaching Auditory and Visual Learners in an English Classroom","year":2018,"lang":"en","type":"article","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":"Mobile phone; Psychology; Construct (python library); Mathematics education; Teaching method; Language acquisition; Mobile device; Sample (material); English language; Multimedia; Pedagogy; Computer science","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":[0.001043306,0.000202485,0.0001678525,0.0004047974,0.0004797351,0.001450122,0.0003050315,0.0004194027,0.00308202],"category_scores_gemma":[0.002396432,0.0001195032,0.0001999235,0.000152627,0.0003613714,0.0006758505,0.0009355454,0.0003452114,0.0007681692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039329,"about_ca_system_score_gemma":0.0006940108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003979074,"about_ca_topic_score_gemma":0.001515814,"domain_scores_codex":[0.9992883,0.0004074128,0.00002731961,0.00004690699,0.0001291414,0.0001009988],"domain_scores_gemma":[0.9987601,0.0007447768,0.00009663295,0.00004337205,0.000105197,0.0002498597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004870267,0.004158586,0.05655526,0.0008899007,0.00003145703,0.002496393,0.08669879,0.0005473353,0.06633286,0.001713659,0.001237349,0.7788514],"study_design_scores_gemma":[0.0004778704,0.03108996,0.2775908,0.002586368,0.0005199946,0.01417783,0.3849387,0.00527703,0.085075,0.004876166,0.1931445,0.0002456768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827427,0.0005156443,0.00415332,0.000270082,0.00002414505,0.000129654,0.00001219557,0.0000356791,0.01211671],"genre_scores_gemma":[0.9849051,0.0007482939,0.01017381,0.00009664088,0.00001544792,0.00006902615,0.000009824446,0.000008702682,0.003973091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00308202,"threshold_uncertainty_score":0.01031035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006006876080195904,"score_gpt":0.2866563467323718,"score_spread":0.2806494706521759,"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."}}