{"id":"W4412742613","doi":"10.1109/iccsp64183.2025.11089189","title":"An AI Powered Voice Assistant for Enhanced User Interaction","year":2025,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Human–computer interaction","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":[0.0001541894,0.00007170651,0.00009701189,0.00008376309,0.00006538058,0.0002008187,0.0003662123,0.00004323587,0.00001822007],"category_scores_gemma":[0.00004510793,0.00005988444,0.00004680813,0.000202025,0.000007088708,0.0005681126,0.00003859554,0.0000433783,0.00007122829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004447086,"about_ca_system_score_gemma":0.00006884356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000975007,"about_ca_topic_score_gemma":0.0002006782,"domain_scores_codex":[0.9993116,0.00003131168,0.0001558773,0.0002604864,0.00008373263,0.0001569584],"domain_scores_gemma":[0.9993389,0.00007681939,0.00003755893,0.0003881686,0.0001086187,0.00004992193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002407416,0.0003790615,0.0005018027,0.00008757367,0.00008483455,0.000004462834,0.0009246814,0.0000608672,0.4128018,0.4487791,0.06412425,0.07201081],"study_design_scores_gemma":[0.001726745,0.000454993,0.004892606,0.0000872147,0.00001338496,0.0000046177,0.0003379791,0.04340294,0.6862785,0.01323417,0.2491432,0.0004235818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007278456,0.00001494338,0.9709706,0.000912201,0.001913478,0.0002236428,0.000001980963,0.0001850617,0.01849966],"genre_scores_gemma":[0.9750753,7.542237e-7,0.02001279,0.001290791,0.00006358758,0.00004021431,0.000005735341,0.000003207204,0.003507617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9677969,"threshold_uncertainty_score":0.2442016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204947828728827,"score_gpt":0.3124178389158079,"score_spread":0.3003683606285196,"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."}}