{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.000259963,0.0003436026,0.0004491809,0.01646011,0.0007643626,0.000063604,0.0006909845,0.0004640929,0.00003389169],"category_scores_gemma":[0.00004748572,0.0003527019,0.000214262,0.006484929,0.000328697,0.001452604,0.0002965494,0.0009249069,0.00003269747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431387,"about_ca_system_score_gemma":0.00008727078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003915708,"about_ca_topic_score_gemma":0.0002387153,"domain_scores_codex":[0.9979949,0.0001065276,0.0001921101,0.0006829929,0.0004882812,0.00053518],"domain_scores_gemma":[0.9985057,0.000175994,0.000323844,0.0005717673,0.0001029363,0.0003197696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002255606,0.0002304114,0.9849661,0.0003889809,0.0001846217,0.0003793084,0.0005954051,0.00002311442,0.0008284843,0.0004429379,0.004352174,0.005352874],"study_design_scores_gemma":[0.007329311,0.0005998697,0.8767783,0.0008387736,0.0003505321,0.00001148274,0.002006606,0.0002676678,0.0004496016,0.00004632619,0.1108299,0.0004916527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821483,0.0001851658,0.0001009921,0.001445723,0.0002064145,0.000689599,0.00002500011,0.0001174982,0.01508128],"genre_scores_gemma":[0.9652449,0.03106102,0.0001184708,0.0003525194,0.00009132452,5.301258e-7,0.00002866059,0.00001904177,0.003083536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1081878,"threshold_uncertainty_score":0.9998925,"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."}}