{"id":"W4414533073","doi":"10.1121/10.0039384","title":"Neural encoding of speech-in-noise in neonates: A frequency-following response study","year":2025,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación; Agència de Gestió d'Ajuts Universitaris i de Recerca; Institució Catalana de Recerca i Estudis Avançats","keywords":"Formant; QUIET; Noise (video); Vowel; Encoding (memory); Syllable; Background noise; Speech perception","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":[0.000387752,0.00024448,0.0003667365,0.0003406647,0.0001506029,0.0002242553,0.000199418,0.0003396617,0.0008580915],"category_scores_gemma":[0.001556112,0.0001104052,0.0001766668,0.0001607802,0.0003741573,0.0001679025,0.0003528252,0.0002856032,0.0001568088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693205,"about_ca_system_score_gemma":0.000230889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115116,"about_ca_topic_score_gemma":0.00129043,"domain_scores_codex":[0.9998085,0.00003761358,0.00002197616,0.00003926674,0.00006585511,0.00002684514],"domain_scores_gemma":[0.99945,0.0001639116,0.00009785077,0.00003724875,0.0001648072,0.00008627142],"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":[0.001115811,0.00009560413,0.08750176,0.0002330042,0.00004156386,0.002916636,0.001231211,0.000250402,0.8831338,0.0001695609,0.0000815064,0.023229],"study_design_scores_gemma":[0.00001477523,0.002703085,0.8238252,0.00006123397,0.00008383911,0.006568729,0.002364066,0.001312725,0.1618549,0.0001791362,0.00100513,0.00002719823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985025,0.0002401973,0.0009158863,0.00001098084,0.000005884237,0.00001044612,0.00004932881,0.000004265433,0.0002605605],"genre_scores_gemma":[0.9980318,0.0002995644,0.001217083,0.00002132669,0.000006015739,0.00003038215,0.00006851414,0.000004884608,0.0003202842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115116,"threshold_uncertainty_score":0.002870619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174557785034985,"score_gpt":0.3087451432881997,"score_spread":0.2869995654378499,"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."}}