{"id":"W3140403552","doi":"10.1044/2021_jslhr-20-00278","title":"Speech Intensity Response to Altered Intensity Feedback in Individuals With Parkinson's Disease","year":2021,"lang":"en","type":"article","venue":"Journal of Speech Language and Hearing Research","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Auditory feedback; Psychology; Audiology; Speech production; Intensity (physics); Context (archaeology); Vowel; Conversation; Sound intensity; Loudness; Speech perception; Cognitive psychology; Speech recognition; Communication; Perception; Medicine; Computer science; Neuroscience","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":[0.004238277,0.0001206813,0.0003303242,0.0005833223,0.000169921,0.0002179939,0.000198753,0.00006609087,0.00004151963],"category_scores_gemma":[0.007351032,0.00009208062,0.00005688492,0.0008888664,0.0001676676,0.0002367451,0.0002890949,0.0009570029,0.0000170404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467292,"about_ca_system_score_gemma":0.0003758868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000206317,"about_ca_topic_score_gemma":0.0000599777,"domain_scores_codex":[0.9972557,0.0005998105,0.0003595811,0.0003675632,0.0009586007,0.0004587162],"domain_scores_gemma":[0.9977301,0.0008496096,0.00007612391,0.0002945865,0.0005819866,0.0004676065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003962277,0.0002258249,0.2194711,0.0001041225,0.00001144791,0.007300237,0.0071739,0.00002721996,0.7419152,0.00002548132,0.0003098084,0.01947338],"study_design_scores_gemma":[0.0007485327,0.0004378117,0.8849042,0.000480017,0.00000563707,0.0006141916,0.003323963,0.00003680843,0.1077806,0.0002129097,0.001339343,0.0001159685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99206,0.000176927,0.00001299802,0.007339206,0.00009460009,0.0002003341,0.00000546159,0.00001024743,0.0001001958],"genre_scores_gemma":[0.996308,0.00007361336,0.002505179,0.0004132444,0.0001860631,0.000002633156,4.940363e-7,0.00001709685,0.0004937279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6654331,"threshold_uncertainty_score":0.8800403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07264426363188527,"score_gpt":0.3704385363107941,"score_spread":0.2977942726789088,"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."}}