{"id":"W2765984610","doi":"","title":"Voices in noise or noisy voices: Effects on task performance and appreciation","year":2017,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"QUIET; Noise (video); Audiology; Psychology; Loudness; Speech perception; Perception; Speech recognition; Background noise; Task (project management); Computer science; Medicine; Artificial intelligence; Engineering; Telecommunications","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":[0.0007482939,0.000542218,0.0005175449,0.0002232317,0.0001758674,0.0008414352,0.0004073348,0.0005937166,0.00375086],"category_scores_gemma":[0.008056113,0.0001783704,0.0002872931,0.0001028462,0.0003313823,0.0004210765,0.0009454835,0.0005830053,0.0008144299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207736,"about_ca_system_score_gemma":0.0001881618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004991308,"about_ca_topic_score_gemma":0.0003817384,"domain_scores_codex":[0.9992495,0.0002152286,0.00007626155,0.0001409294,0.000195682,0.0001223876],"domain_scores_gemma":[0.9963537,0.002170938,0.000428733,0.0002553909,0.000222623,0.0005685257],"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":[0.0507842,0.01236228,0.02694327,0.0008751602,0.000306264,0.001160127,0.006832484,0.002881528,0.7006533,0.0002391762,0.001202583,0.1957597],"study_design_scores_gemma":[0.001395467,0.1194366,0.7420375,0.000175565,0.0004880445,0.001693715,0.005627124,0.01027497,0.1116064,0.001691067,0.005311737,0.0002618109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984257,0.0001564748,0.0003882215,0.00002564746,0.00001627027,0.00002097907,0.00004519697,0.00002498395,0.0008965175],"genre_scores_gemma":[0.996155,0.000149269,0.0006827862,0.0000510493,0.00001943238,0.00008932131,0.0001506493,0.00002193393,0.002680524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00375086,"threshold_uncertainty_score":0.01254785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656406670264534,"score_gpt":0.2410075409990825,"score_spread":0.2244434742964372,"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."}}