{"id":"W4283072518","doi":"10.5539/hes.v12n3p34","title":"Creating Mature Blended Education: the European Maturity Model Guidelines","year":2022,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blended learning; Capability Maturity Model; Maturity (psychological); Higher education; Context (archaeology); Knowledge management; Pedagogy; Political science; Public relations; Sociology; Educational technology; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008361037,0.0001408861,0.0001232817,0.00008317326,0.001284805,0.0001544794,0.0008084386,0.00001151909,0.00005065777],"category_scores_gemma":[0.00004126337,0.0001047785,0.00005449963,0.0004447855,0.00005494725,0.0001480743,0.001049274,0.0002309013,0.00007327747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148753,"about_ca_system_score_gemma":0.0002733697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001706566,"about_ca_topic_score_gemma":0.0000027769,"domain_scores_codex":[0.9985608,0.0003616805,0.0002586036,0.0003490121,0.0002974092,0.0001725338],"domain_scores_gemma":[0.9986384,0.00006907395,0.0001555341,0.0006143887,0.0004859877,0.00003663696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001594726,0.000205286,0.0002325301,0.00003526453,0.000056213,4.469891e-7,0.004654216,0.002078098,0.000008096625,0.2398272,0.7311731,0.02172798],"study_design_scores_gemma":[0.0001050308,0.00002375584,0.006059215,0.00004467959,0.00003629742,0.00000780552,0.01552829,0.003597948,0.00001159853,0.01132941,0.9630075,0.0002485302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01464311,0.0584003,0.006805386,0.2433074,0.0190465,0.000724155,0.000005038231,0.0009412132,0.6561269],"genre_scores_gemma":[0.6821363,0.0002047391,0.02857257,0.007241597,0.001246424,0.0004280392,0.00001180944,0.00002619462,0.2801323],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6674932,"threshold_uncertainty_score":0.9881812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07460046409824003,"score_gpt":0.3550231018171651,"score_spread":0.2804226377189251,"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."}}