{"id":"W1576908392","doi":"","title":"Conversational speech intensity under different noise conditions in hypophonia and parkinson's disease","year":2006,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Audiology; Noise (video); Stimulus (psychology); Psychology; Parkinson's disease; Intensity (physics); Analysis of variance; Background noise; Noise level; Speech recognition; Mathematics; Medicine; Acoustics; Disease; Computer science; Statistics; Hearing loss; Cognitive psychology; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00003314396,0.0001125264,0.0001555296,0.0001937613,0.00007244887,0.00001959139,0.00003471729,0.00006726475,0.0001874278],"category_scores_gemma":[0.00006270086,0.0001135061,0.00002999706,0.0001075284,0.0001218566,0.00003562116,0.000009864432,0.0001460183,0.00002540576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779631,"about_ca_system_score_gemma":0.000462746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02637675,"about_ca_topic_score_gemma":0.07958478,"domain_scores_codex":[0.9992989,0.00001008087,0.0001323961,0.0001773726,0.0001267083,0.0002545663],"domain_scores_gemma":[0.9992215,0.0000352892,0.00002252137,0.0001388094,0.00007488755,0.0005070088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007483592,0.0001324209,0.948466,0.000083527,0.00003307393,0.0009332159,0.0001005256,0.0004290399,0.003350352,0.001781942,0.0442489,0.0003661819],"study_design_scores_gemma":[0.0008550138,0.00001868946,0.9924735,0.00003127502,0.00007774222,0.00002218674,0.0003078501,0.002207071,0.00002132377,0.002136342,0.001726311,0.000122686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937988,0.0001283631,0.000167352,0.004559091,0.0001330968,0.0002071495,0.0002151531,0.00001739859,0.0007736298],"genre_scores_gemma":[0.9955546,0.0000405729,0.0001051791,0.003087283,0.00009765474,0.00000664348,0.0003231916,0.00001354025,0.0007713441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05320802,"threshold_uncertainty_score":0.9801067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009895990142422576,"score_gpt":0.2242113059853528,"score_spread":0.2143153158429303,"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."}}