{"id":"W2737165467","doi":"10.56059/jl4d.v4i2.219","title":"Use of Tablet Computers to Improve Access to Education in a Remote Location","year":2017,"lang":"en","type":"article","venue":"Journal of Learning for Development","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Qatar Foundation","keywords":"Internet access; The Internet; Flexibility (engineering); Mobile technology; Digital learning; Multimedia; Computer science; Test (biology); M-learning; Active learning (machine learning); Mobile device; World Wide Web; Mathematics","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":[0.001267839,0.00009900856,0.000202031,0.000461288,0.0001719922,0.0004704162,0.001099905,0.00004231878,0.000001662254],"category_scores_gemma":[0.001648207,0.00009890728,0.00003552916,0.0002313101,0.00001146426,0.001110092,0.000243646,0.0001876023,0.00000596569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297717,"about_ca_system_score_gemma":0.001458776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007185865,"about_ca_topic_score_gemma":0.0000268953,"domain_scores_codex":[0.9986864,0.00007429077,0.0005660446,0.000200489,0.0002882902,0.0001844388],"domain_scores_gemma":[0.9976816,0.0001444542,0.0009775982,0.0003339806,0.0007375867,0.0001248199],"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":[0.00003072782,0.00009778378,0.01845435,0.00005802302,0.0000157335,6.204992e-7,0.003953591,0.08031469,0.001276824,0.0001581902,0.001846127,0.8937933],"study_design_scores_gemma":[0.000511684,0.0004613087,0.8074158,0.001172021,0.000008237931,0.00002102215,0.000132416,0.02600615,0.00740408,0.0002395845,0.1563409,0.0002867432],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.343386,0.000008280083,0.6530259,0.00202352,0.001214416,0.0002946698,6.976083e-8,0.000006971533,0.00004010888],"genre_scores_gemma":[0.5264276,0.000002458745,0.4729226,0.0001636805,0.00007588314,0.00001032195,9.01129e-7,0.000007879418,0.0003887201],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8935066,"threshold_uncertainty_score":0.4536234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04288224897335288,"score_gpt":0.3420465215332062,"score_spread":0.2991642725598533,"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."}}