{"id":"W1582848342","doi":"","title":"Implementing Large Scale Mobile Learning School Programs: To BYOD or not to BYOD","year":2014,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bring your own device; Mobile device; Scale (ratio); Computer science; Laptop; Internet privacy; World Wide Web; Geography; Operating system; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02171914,0.0007572093,0.00102923,0.001315864,0.005543397,0.00966091,0.002967238,0.008078868,0.01988084],"category_scores_gemma":[0.05475077,0.0005333572,0.0009449458,0.001174551,0.006070955,0.01223417,0.01375887,0.007301289,0.003748541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006303695,"about_ca_system_score_gemma":0.03668454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008972505,"about_ca_topic_score_gemma":0.03762081,"domain_scores_codex":[0.9844881,0.007287876,0.001228495,0.00140824,0.002723449,0.002863764],"domain_scores_gemma":[0.9312948,0.01206993,0.007556001,0.00425774,0.01103013,0.03379144],"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":[0.0008835564,0.002587054,0.05702942,0.003334149,0.0001185756,0.0003944985,0.01063528,0.0002012034,0.002582619,0.01270591,0.1905917,0.718936],"study_design_scores_gemma":[0.001562118,0.003645907,0.1215454,0.008903612,0.0003882077,0.001313102,0.1127283,0.00125508,0.004834635,0.0255505,0.7178944,0.0003788454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1197118,0.0075822,0.009028651,0.783404,0.01170596,0.001496789,0.0004953978,0.001036028,0.06553914],"genre_scores_gemma":[0.582068,0.008545173,0.03821341,0.3343937,0.002578591,0.002092452,0.0005599697,0.0005484538,0.03100033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02171914,"threshold_uncertainty_score":0.1148632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191227339107806,"score_gpt":0.3012677753577951,"score_spread":0.2821450414470145,"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."}}