{"id":"W1595182914","doi":"","title":"Implementing Mobile Learning in Developing Countries: Prospects and Challenges","year":2007,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Mobile device; Mobile technology; Work (physics); Mobile business development; Developing country; Mobile telephony; Multimedia; Telecommunications; World Wide Web; Mobile Web; Engineering; Economic growth","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":[0.008773272,0.0005456668,0.0004777539,0.0009912263,0.002152359,0.008017123,0.001860695,0.004400034,0.00732004],"category_scores_gemma":[0.009246453,0.0002698571,0.0003253248,0.001583813,0.003004842,0.006634655,0.004502958,0.002092927,0.001402102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267102,"about_ca_system_score_gemma":0.0133304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0070369,"about_ca_topic_score_gemma":0.006039141,"domain_scores_codex":[0.9966485,0.001783618,0.0001549976,0.0001795822,0.0004562586,0.0007770748],"domain_scores_gemma":[0.9927329,0.002605481,0.0007296565,0.0002546646,0.001860281,0.001817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000151548,0.0005386923,0.0282887,0.003406115,0.00004931031,0.001293753,0.005063616,0.004110702,0.001449177,0.2008673,0.045051,0.7097301],"study_design_scores_gemma":[0.000182721,0.001031947,0.03129177,0.01463866,0.0001124275,0.001706413,0.09352734,0.007351999,0.002764971,0.08344679,0.7637897,0.0001552904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1057509,0.160561,0.02149886,0.5479613,0.002093309,0.0005059133,0.0005331928,0.0003304206,0.1607651],"genre_scores_gemma":[0.7754341,0.1628252,0.02758889,0.01894682,0.001232491,0.0006610281,0.0003544198,0.00005420588,0.01290276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008773272,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804863402477608,"score_gpt":0.2882394397406289,"score_spread":0.2601908057158528,"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."}}