{"id":"W7116683851","doi":"10.55041/ijsrem55416","title":"AI Virtual Assistant for Students (Voice + NLP + Knowledge Graph)","year":2025,"lang":"","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Department of Artificial Intelligence, Korea University","keywords":"Natural language; Key (lock); Natural language understanding; Chatbot; Question answering; Intelligent tutoring system; Ontology; Knowledge representation and reasoning; Semantics (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007908612,0.0006623688,0.0004480827,0.0007016042,0.0005516783,0.001237236,0.001184446,0.0008167887,0.02014142],"category_scores_gemma":[0.00249345,0.0001605561,0.0004093754,0.0003928508,0.0003265276,0.001367032,0.002365979,0.000624425,0.00790378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516729,"about_ca_system_score_gemma":0.0005553399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006053221,"about_ca_topic_score_gemma":0.0004844564,"domain_scores_codex":[0.9992142,0.0002470589,0.0000655238,0.0002177706,0.0001850638,0.0000703558],"domain_scores_gemma":[0.9982338,0.000764491,0.0001122927,0.00034477,0.0002858947,0.0002586482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001697307,0.0009027518,0.003837146,0.0007407254,0.00009465917,0.001414744,0.002144303,0.00522483,0.09020476,0.01223042,0.04676203,0.8347464],"study_design_scores_gemma":[0.0007647701,0.002179642,0.006518907,0.000176808,0.0003016053,0.004706648,0.001678916,0.2986622,0.1639459,0.02612902,0.4946398,0.0002957308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0785211,0.0002651198,0.8312047,0.0006513267,0.0003676421,0.0007172941,0.0009564784,0.06345859,0.0238578],"genre_scores_gemma":[0.5722263,0.0002607954,0.3716714,0.0009467218,0.0002476703,0.0009219814,0.001505217,0.0009124017,0.05130746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02014142,"threshold_uncertainty_score":0.06737977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160877558052844,"score_gpt":0.3969535238658687,"score_spread":0.3453447482853403,"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."}}