{"id":"W1588616339","doi":"10.24908/pceea.v0i0.4805","title":"CAN MOBILE LEARNING MATURITY BE MEASURED? A PRELIMINARY WORK","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Maturity (psychological); Capability Maturity Model; Popularity; Computer science; Knowledge management; Mobile technology; Mobile device; Process (computing); World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02478816,0.0009223423,0.001042303,0.004212198,0.001326474,0.007769725,0.001807771,0.00178004,0.005596534],"category_scores_gemma":[0.08700541,0.0004728074,0.001536359,0.007866098,0.002097956,0.01411689,0.003192984,0.002549139,0.001055602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005574901,"about_ca_system_score_gemma":0.006297355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008134136,"about_ca_topic_score_gemma":0.006172086,"domain_scores_codex":[0.9819204,0.01164979,0.001127141,0.001715408,0.002780603,0.0008066544],"domain_scores_gemma":[0.9353172,0.04147901,0.004321911,0.004617227,0.01239608,0.0018686],"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":[0.0003729434,0.001162185,0.2001278,0.002866464,0.0004354989,0.0003590572,0.0167958,0.004551883,0.001655,0.2862908,0.00831582,0.4770668],"study_design_scores_gemma":[0.0001517231,0.003593934,0.3617393,0.01151421,0.0008955255,0.0006708443,0.09602781,0.05808751,0.007329229,0.3039734,0.155594,0.000422363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.54173,0.03105193,0.1581075,0.05889143,0.001262829,0.0028638,0.003811926,0.0004942091,0.2017862],"genre_scores_gemma":[0.9605222,0.00450655,0.03038294,0.0007087057,0.0001217568,0.001062941,0.0007709122,0.00003846034,0.001885539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02478816,"threshold_uncertainty_score":0.1310939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005301032632490749,"score_gpt":0.190307687725987,"score_spread":0.1850066550934963,"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."}}