{"id":"W4411032550","doi":"10.55277/rhj.ql8ttmax","title":"The Use of Generative Artificial Intelligence in Higher Education","year":2025,"lang":"en","type":"report","venue":"","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland College","funders":"","keywords":"Generative grammar; Artificial intelligence; Computer 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":[0.0002010049,0.0001289786,0.0001859546,0.0003087422,0.00007628254,0.0001997455,0.0002544582,0.0001782817,0.0002364111],"category_scores_gemma":[0.0003471504,0.00008252708,0.00005519557,0.0004534617,0.0000859262,0.0002569462,0.0002082192,0.0001890569,0.00002501507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006014041,"about_ca_system_score_gemma":0.000310241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002857944,"about_ca_topic_score_gemma":0.001684174,"domain_scores_codex":[0.9991057,0.000004396763,0.0003752529,0.0001803665,0.0002145348,0.0001197629],"domain_scores_gemma":[0.9989671,0.0000782995,0.0002796831,0.00026478,0.000408769,0.000001389422],"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":[0.000006120998,0.00005390678,0.0006083637,0.0001283948,0.00001811798,7.225488e-7,0.000004165783,0.00002477264,0.000009729779,0.4788212,0.1492718,0.3710527],"study_design_scores_gemma":[0.000005949898,0.000002032945,0.001130361,0.0001210873,0.00002539468,8.912496e-8,0.0001745542,0.0001922623,0.0001036498,0.03676393,0.961372,0.0001086894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00269032,0.002026954,0.001294789,0.0158882,0.008148876,0.0009783001,0.000006059236,0.0003054885,0.968661],"genre_scores_gemma":[0.2267744,0.004341841,0.002255268,0.002293217,0.005318706,0.0003160052,0.000258886,0.0000600374,0.7583816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8121002,"threshold_uncertainty_score":0.4320376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.202732738461452,"score_gpt":0.3326390950229607,"score_spread":0.1299063565615087,"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."}}