{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01332531,0.000251034,0.0004126943,0.004190463,0.0004790545,0.002401897,0.001604569,0.00008381227,0.000005157264],"category_scores_gemma":[0.0001827781,0.0002355859,0.0002400426,0.001945478,0.0002083338,0.0006314162,0.0009015351,0.0009078141,0.00001073431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003889079,"about_ca_system_score_gemma":0.0001786015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009938892,"about_ca_topic_score_gemma":0.0000052881,"domain_scores_codex":[0.9956377,0.0002620297,0.001161423,0.0006314676,0.001552097,0.0007553128],"domain_scores_gemma":[0.9972974,0.0005655328,0.0001936491,0.0003183073,0.001443561,0.0001815678],"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":[0.0002737839,0.001084671,0.0009351646,0.002890314,0.0008723588,0.0002662206,0.002182307,0.0381201,0.001716988,0.860895,0.007600838,0.0831623],"study_design_scores_gemma":[0.003133517,0.0009570125,0.01104286,0.02346446,0.00006383142,0.00005683134,0.001385915,0.1838594,0.0006074983,0.003595988,0.7713125,0.0005201647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04567985,0.004211006,0.9331133,0.00201427,0.01347044,0.0008646742,0.000009071292,0.00001840317,0.0006189907],"genre_scores_gemma":[0.9720949,0.0004415195,0.002499897,0.00002814235,0.0002232214,0.00003667884,0.000001410719,0.00001497025,0.02465927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9306134,"threshold_uncertainty_score":0.9986337,"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."}}