{"id":"W2094040639","doi":"10.2304/elea.2013.10.1.13","title":"From e- to m-Learning: Feasibility for an African-Delivered Tertiary Program","year":2013,"lang":"en","type":"article","venue":"E-Learning and Digital Media","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Information and Communications Technology; Medical education; Computer science; World Wide Web; Medicine","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":[0.01672221,0.0005835518,0.0004656407,0.0009023246,0.007590244,0.004783466,0.002845305,0.003697946,0.04557026],"category_scores_gemma":[0.01600137,0.0005565367,0.0009422774,0.0008489168,0.001126664,0.00460453,0.009005216,0.004775598,0.004518769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004660641,"about_ca_system_score_gemma":0.0369468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007690973,"about_ca_topic_score_gemma":0.02181769,"domain_scores_codex":[0.9926104,0.003074193,0.0002382752,0.0003631079,0.0006405477,0.003073476],"domain_scores_gemma":[0.9806862,0.003857213,0.0003860591,0.0005767081,0.001776583,0.01271727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01108184,0.1338788,0.06709886,0.004780677,0.000106719,0.007051771,0.04513801,0.002320485,0.01349856,0.03303159,0.03365108,0.6483616],"study_design_scores_gemma":[0.01899418,0.1427976,0.2343777,0.01232073,0.0004336065,0.003682537,0.3087217,0.009891301,0.02636586,0.01818074,0.2236955,0.0005384542],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174411,0.0005283519,0.006549411,0.02339528,0.0007117483,0.01753796,0.000717447,0.0001903216,0.03292834],"genre_scores_gemma":[0.9317684,0.001453622,0.0299129,0.007510152,0.0003030964,0.01398448,0.0005237341,0.00008026837,0.01446331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04557026,"threshold_uncertainty_score":0.1524477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853088702096391,"score_gpt":0.2795535664528249,"score_spread":0.261022679431861,"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."}}