{"id":"W4416340285","doi":"10.1007/978-3-032-07083-8_7","title":"Reverberation Time as an Acoustic Biomarker for Speech Impairment in Parkinson Disease","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Reverberation; Random forest; Decision tree; Disease; Classifier (UML); Intelligibility (philosophy)","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":[0.0007253561,0.0001493899,0.0002090654,0.000901968,0.000195325,0.0001397046,0.0004582311,0.00009368402,0.00002385642],"category_scores_gemma":[0.00009217358,0.0001476296,0.00004214928,0.0002515272,0.000279631,0.001876006,0.0002705854,0.0001869225,0.00003086939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189297,"about_ca_system_score_gemma":0.0005733258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001790654,"about_ca_topic_score_gemma":0.00003248651,"domain_scores_codex":[0.9988787,0.00001776229,0.0004989863,0.0001960181,0.0002530945,0.0001554929],"domain_scores_gemma":[0.9983922,0.0001100278,0.0001335924,0.0009959075,0.0002539799,0.0001143326],"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":[0.0004083808,0.0004546437,0.00223203,0.0007994872,0.00003679913,0.00000472985,0.003121252,0.0004397912,0.0001091324,0.05001569,0.007585267,0.9347928],"study_design_scores_gemma":[0.001690393,0.0002652355,0.01997179,0.001120273,0.00005696742,0.00001445389,0.00006457084,0.6787214,0.00001095639,0.006121682,0.2916117,0.0003505724],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01628314,0.00257719,0.1550146,0.02363842,0.0009393132,0.01389246,0.0003441469,0.0003679311,0.7869428],"genre_scores_gemma":[0.5343832,0.02356745,0.3253805,0.02964028,0.0002679034,0.001004991,0.008188865,0.00009459181,0.07747219],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9344422,"threshold_uncertainty_score":0.602016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856977296647215,"score_gpt":0.326797927876852,"score_spread":0.2982281549103799,"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."}}