{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003751579,0.0002866431,0.0002953937,0.00008381526,0.0004433736,0.0007866387,0.0004762105,0.00009477419,0.00005468783],"category_scores_gemma":[0.00006066568,0.0002364403,0.0001081117,0.0004543854,0.0000536238,0.0009176754,0.0001169172,0.0002094763,0.00003171529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304692,"about_ca_system_score_gemma":0.002064158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003700882,"about_ca_topic_score_gemma":0.00008997342,"domain_scores_codex":[0.9980056,0.00008118663,0.0004177959,0.0007840864,0.0002654834,0.0004458374],"domain_scores_gemma":[0.9983255,0.0001079372,0.0002446426,0.0005102141,0.0007354423,0.00007624564],"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":[0.00002652201,0.0001260186,0.001908939,0.0001100102,0.00007223758,0.000002024851,0.0006427682,0.000436394,0.0001511533,0.9228385,0.01608152,0.05760391],"study_design_scores_gemma":[0.000378658,0.0004784346,0.002520576,0.001027012,0.00004019292,0.00001163612,0.0003042076,0.03620235,0.01520369,0.002525396,0.9408321,0.0004757746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0009096584,0.000691634,0.9615816,0.005077669,0.004381036,0.0008841777,0.000004500351,0.0000603873,0.02640927],"genre_scores_gemma":[0.3733641,0.00002302567,0.02648688,0.00249985,0.0003342968,0.000137866,0.00000350899,0.0000123447,0.5971382],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9350948,"threshold_uncertainty_score":0.9641758,"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."}}