{"id":"W2125903453","doi":"10.1016/j.heares.2015.11.002","title":"Attentional modulation of informational masking on early cortical representations of speech signals","year":2015,"lang":"en","type":"article","venue":"Hearing Research","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Schneider Electric (Canada); University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Active listening; Syllable; Speech recognition; Psychology; Masking (illustration); Selective auditory attention; Noise (video); Contrast (vision); Communication; Selective attention; Computer science; Cognition; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002987213,0.0003441051,0.0001934288,0.0003931833,0.0002361405,0.0005277733,0.0003336568,0.0003561056,0.004851888],"category_scores_gemma":[0.004058647,0.0002195009,0.0002195155,0.0002560782,0.000282484,0.0006007379,0.0005588524,0.000458129,0.0004421917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139002,"about_ca_system_score_gemma":0.0002881429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076205,"about_ca_topic_score_gemma":0.001507418,"domain_scores_codex":[0.9998571,0.0000224221,0.000006983718,0.00002886764,0.00004930386,0.00003524126],"domain_scores_gemma":[0.9989362,0.0007851046,0.00007904782,0.00004756111,0.00008259954,0.00006935297],"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":[0.0008546084,0.00003475268,0.0006576879,0.00009316969,0.00001635921,0.0001136635,0.0001844347,0.0002533016,0.975446,0.00104781,0.0002309079,0.02106736],"study_design_scores_gemma":[0.000271383,0.0008061977,0.496739,0.0001791856,0.0002917084,0.001701482,0.0004535444,0.02672764,0.4549806,0.01386182,0.0039124,0.00007504419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688199,0.001243974,0.01478329,0.0003107629,0.0001461171,0.00005004031,0.0002040252,0.0001106925,0.01433124],"genre_scores_gemma":[0.994402,0.0004993269,0.002594485,0.0001381517,0.0000879892,0.00002814448,0.000105754,0.00006890911,0.002075328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004851888,"threshold_uncertainty_score":0.01623112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3269640123370006,"score_gpt":0.4583798490953546,"score_spread":0.1314158367583539,"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."}}