{"id":"W2918390772","doi":"10.1101/568840","title":"Afferent-efferent connectivity between auditory brainstem and cortex accounts for poorer speech-in-noise comprehension in older adults","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Efferent; Brainstem; Auditory cortex; Audiology; Psychology; Hearing loss; Afferent; Speech perception; Neuroscience; Perception; Brain activity and meditation; Medicine; Electroencephalography","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":[0.0003483141,0.0004090187,0.0002462237,0.000554367,0.0002041683,0.0004215635,0.0002000814,0.0004169763,0.00373416],"category_scores_gemma":[0.001772795,0.0001464246,0.0002008252,0.000189105,0.0002525813,0.0004120389,0.0005064353,0.0003605088,0.0002209269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448183,"about_ca_system_score_gemma":0.0001018084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002636362,"about_ca_topic_score_gemma":0.004152882,"domain_scores_codex":[0.9999177,0.00001077903,0.00001312166,0.00003100165,0.00001429196,0.00001301092],"domain_scores_gemma":[0.9995067,0.0001022833,0.0002190414,0.00003960194,0.00006538422,0.00006699863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007587405,0.0001545271,0.9483377,0.0001288922,0.0002173927,0.0008314131,0.0007142099,0.0004122495,0.02948253,0.0004095511,0.0008370965,0.01771562],"study_design_scores_gemma":[0.000005025137,0.00005870805,0.9977963,0.00001034087,0.00004360741,0.0003794396,0.0001375086,0.0004408686,0.0006244924,0.0004018343,0.00009837657,0.00000357303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983003,0.0002092442,0.000483148,0.0001109283,0.000005659385,0.000006180444,0.0003046013,0.00001247604,0.0005675146],"genre_scores_gemma":[0.9994241,0.00004999433,0.0001850308,0.00002551638,0.00000993289,0.000004779721,0.0001281049,0.00000248272,0.000170106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00373416,"threshold_uncertainty_score":0.01249206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270621358559374,"score_gpt":0.2544761530122595,"score_spread":0.2317699394266657,"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."}}