{"id":"W7130692724","doi":"10.1109/swc65939.2025.00078","title":"Governance supports for smart education with generative AI","year":2025,"lang":"","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Corporate governance; Generative grammar; Power (physics); Position paper; Position (finance); Generative model","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":[0.005678778,0.0003263543,0.0002409305,0.0008519337,0.002683016,0.008328655,0.001205473,0.001983706,0.01094091],"category_scores_gemma":[0.01322143,0.0002925489,0.0004298114,0.000712572,0.006577319,0.009295757,0.01054296,0.00278724,0.001973067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760038,"about_ca_system_score_gemma":0.003252884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007519625,"about_ca_topic_score_gemma":0.00139319,"domain_scores_codex":[0.9954001,0.002553628,0.0002306262,0.0005499792,0.0008281432,0.0004375039],"domain_scores_gemma":[0.9893758,0.00371435,0.001074484,0.003014322,0.0009149988,0.001906074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002129162,0.0001476727,0.00443607,0.00009507353,0.0000183072,0.000287497,0.008870807,0.002597991,0.001084686,0.9077433,0.008617981,0.06607918],"study_design_scores_gemma":[0.00003475088,0.00006239607,0.001412672,0.0002623083,0.00001922462,0.0001945001,0.003813738,0.008844534,0.001577779,0.7524769,0.2312711,0.00003008571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08657908,0.001108043,0.5085897,0.04399966,0.0005256148,0.0002987523,0.00008372441,0.002802339,0.356013],"genre_scores_gemma":[0.9221795,0.0004278772,0.05709755,0.001751805,0.0001662545,0.0002022639,0.00007876219,0.0002275923,0.01786837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094091,"threshold_uncertainty_score":0.03660101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092983207488646,"score_gpt":0.2720225011440441,"score_spread":0.2610926690691577,"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."}}