{"id":"W1528423145","doi":"","title":"Implement and deploy mobile learning in open universities - The many promises and challenges ahead","year":2008,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Data science","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":[0.01126539,0.0005411585,0.0002969418,0.000557979,0.001655587,0.007485539,0.00298846,0.004726956,0.005561962],"category_scores_gemma":[0.02227899,0.0003211407,0.000409071,0.0006571339,0.002537529,0.01458488,0.004854572,0.003971585,0.002918764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499583,"about_ca_system_score_gemma":0.004355243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493307,"about_ca_topic_score_gemma":0.005698051,"domain_scores_codex":[0.9937449,0.00228333,0.0002562568,0.0005771741,0.001559688,0.001578694],"domain_scores_gemma":[0.9825267,0.004616006,0.001336239,0.003720499,0.00289682,0.004903685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004860127,0.001536033,0.03850441,0.0005022636,0.00008969238,0.0004045094,0.00486268,0.01160967,0.02391722,0.07897394,0.03658602,0.8025275],"study_design_scores_gemma":[0.0005840847,0.003780046,0.06609681,0.001534552,0.0001696148,0.0006880257,0.05052806,0.0780747,0.02899238,0.300598,0.4686059,0.0003478892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.399136,0.004179444,0.3077937,0.2159993,0.002135778,0.0009626574,0.0002422056,0.005497119,0.06405371],"genre_scores_gemma":[0.8080776,0.001747488,0.1712804,0.006128564,0.000774562,0.0002925612,0.000300955,0.000433338,0.01096452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126539,"threshold_uncertainty_score":0.05957776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066171382029555,"score_gpt":0.3105093449297787,"score_spread":0.2038922067268232,"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."}}