{"id":"W4392337651","doi":"10.1016/j.eswa.2024.123484","title":"An NLP-based system for modulating virtual experiences using speech instructions","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Speech recognition","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":[0.0006417205,0.000829639,0.0005832821,0.000609614,0.00032092,0.0009001083,0.001085073,0.0009501101,0.02709606],"category_scores_gemma":[0.003027881,0.00028076,0.0002315442,0.0003043427,0.0002869006,0.0008843025,0.001169439,0.0005649466,0.006728299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731018,"about_ca_system_score_gemma":0.0003721753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008650256,"about_ca_topic_score_gemma":0.0008141083,"domain_scores_codex":[0.9996116,0.0000984785,0.00004040763,0.0001200305,0.0001034115,0.00002611143],"domain_scores_gemma":[0.9988465,0.000680346,0.0000541135,0.0001150329,0.0001968963,0.000107013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003321528,0.0004742733,0.001551456,0.0009065206,0.00007355738,0.0007046617,0.001153225,0.002463186,0.3565708,0.002670947,0.01889384,0.6112159],"study_design_scores_gemma":[0.002013325,0.002718121,0.02634716,0.0004334149,0.000571215,0.002608987,0.0008448526,0.4036514,0.4290076,0.009325634,0.1219886,0.0004895992],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1042277,0.0004529837,0.7756534,0.0003381457,0.0006149305,0.001612796,0.002925937,0.0945579,0.01961623],"genre_scores_gemma":[0.4765263,0.0003305977,0.485688,0.0008306226,0.0002304161,0.003206979,0.003259655,0.003271883,0.02665559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02709606,"threshold_uncertainty_score":0.09064537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394420026868275,"score_gpt":0.289669436656138,"score_spread":0.2657252363874552,"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."}}