{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008791265,0.0005721819,0.0004716918,0.000430002,0.0006108609,0.001316552,0.001156104,0.00111774,0.01510569],"category_scores_gemma":[0.002795565,0.0001887577,0.0003170019,0.0001816386,0.0003960999,0.00152767,0.002129193,0.0005692974,0.004818004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725954,"about_ca_system_score_gemma":0.0004127967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002510534,"about_ca_topic_score_gemma":0.0003998177,"domain_scores_codex":[0.9991143,0.0002708988,0.00005134491,0.0001399768,0.0003598017,0.00006365381],"domain_scores_gemma":[0.9989752,0.0004729887,0.00004785036,0.000134529,0.0002436895,0.0001258725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001674224,0.0005380868,0.001327799,0.0006637316,0.00007800264,0.001972995,0.003837344,0.002751741,0.2760502,0.0212655,0.02186201,0.6679783],"study_design_scores_gemma":[0.0006554099,0.003947377,0.004588422,0.0003227476,0.0003410406,0.01057508,0.001646598,0.1397945,0.1544411,0.01898025,0.6643496,0.0003578223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09291981,0.001106879,0.8241163,0.001219831,0.0009133164,0.0007437913,0.0003197289,0.01940619,0.05925415],"genre_scores_gemma":[0.5083087,0.0006730776,0.4034023,0.001563639,0.0006223074,0.0007130062,0.0004757991,0.0009466403,0.08329459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01510569,"threshold_uncertainty_score":0.05053359,"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."}}