{"id":"W2508031527","doi":"10.20533/iji.1742.4712.2013.0090","title":"Developing a Mobile Learning Maturity Model","year":2013,"lang":"en","type":"article","venue":"International Journal for Infonomics","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Maturity (psychological); Capability Maturity Model; Computer science; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358446,0.0001026744,0.00009584965,0.0001710008,0.0001844835,0.0009079058,0.001183512,0.00005885426,0.00002985144],"category_scores_gemma":[0.0001769465,0.000104072,0.00008972346,0.00006084098,0.0000177908,0.001312581,0.0001779494,0.0003287335,0.0001280781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267886,"about_ca_system_score_gemma":0.0003068416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001298459,"about_ca_topic_score_gemma":0.000001061467,"domain_scores_codex":[0.9990492,0.00002399388,0.0003364747,0.0001699849,0.0002164866,0.0002038424],"domain_scores_gemma":[0.9987816,0.0001239788,0.0002641945,0.0001368537,0.0006105624,0.00008287095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001313593,0.00006401689,0.002100587,0.000009617174,0.000107256,0.000002130798,0.002309656,0.5252385,0.0004305528,0.2154843,0.006903911,0.2473364],"study_design_scores_gemma":[0.0002692904,0.00003532358,0.0007119125,0.00002194814,0.000002208319,0.0001176041,0.00009341655,0.878281,0.0002371035,0.05731478,0.06275848,0.0001569284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1302271,0.00002155789,0.8637558,0.002078896,0.00264572,0.000202151,0.000001025899,0.00006942329,0.0009983444],"genre_scores_gemma":[0.5713457,0.00005418616,0.4258704,0.0007847989,0.0004960788,0.0001665251,0.000008853142,0.00001581963,0.001257629],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4411186,"threshold_uncertainty_score":0.8754957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404727934710929,"score_gpt":0.3128115922738869,"score_spread":0.2887643129267776,"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."}}