{"id":"W4402043879","doi":"10.1101/2024.08.29.610326","title":"Otoacoustic emissions but not behavioral measurements predict cochlear-nerve frequency tuning in an avian vocal-communication specialist","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Cochlea; Audiology; Cochlear nerve; Stimulus (psychology); Acoustics; Computer science; Psychology; Physics; Medicine; Cognitive psychology","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"],"consensus_categories":[],"category_scores_codex":[0.0008369509,0.0006081595,0.0004819186,0.0002544706,0.0002613015,0.000306252,0.001449081,0.0009290416,0.00006806751],"category_scores_gemma":[0.0001833051,0.0006765492,0.0002128775,0.0003498126,0.000245371,0.00002413767,0.001604694,0.001454866,0.00005097027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155404,"about_ca_system_score_gemma":0.0007428331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004082516,"about_ca_topic_score_gemma":0.0001756368,"domain_scores_codex":[0.9965463,0.0004771953,0.0008182068,0.00111933,0.0004939997,0.0005450054],"domain_scores_gemma":[0.9960391,0.00001774199,0.0003346884,0.002702347,0.0005125034,0.0003936315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005498422,0.0004727367,0.01760568,0.0001205601,0.0000429248,0.00002761403,0.00001979941,0.00002716703,0.9814018,0.00009359714,0.0001189198,0.00001418466],"study_design_scores_gemma":[0.00110311,0.00052143,0.3609843,0.001556877,0.0005457928,2.128691e-7,0.00006343675,0.0006423231,0.6311494,0.00001401252,0.001425001,0.001994093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956597,0.00196636,0.0002405602,0.0001803735,0.0004668667,0.0007941644,0.00043733,0.0001892093,0.00006545486],"genre_scores_gemma":[0.9948599,0.0003038307,0.003769936,0.0001525713,0.0003505246,0.0003305509,0.00003324145,0.0001699481,0.00002954628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3502524,"threshold_uncertainty_score":0.9995686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541693364401512,"score_gpt":0.3004868466074238,"score_spread":0.2463175101672725,"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."}}