{"id":"W1996233236","doi":"10.1016/j.heares.2006.10.009","title":"Temporal jitter disrupts speech intelligibility: A simulation of auditory aging","year":2006,"lang":"en","type":"article","venue":"Hearing Research","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":190,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of British Columbia; Nortel (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; University of Toronto","keywords":"Audiogram; Speech recognition; Distortion (music); Intelligibility (philosophy); Noise (video); Jitter; Computer science; Acoustics; Hearing loss; Audiology; Physics; Artificial intelligence; Telecommunications; Bandwidth (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989368,0.00009002102,0.0001503558,0.0003143072,0.0002269894,0.00007513189,0.000172923,0.00008006379,0.00005459541],"category_scores_gemma":[0.001680892,0.0000809025,0.00006455754,0.0005825009,0.0003277351,0.0001917643,0.0001518162,0.0004125751,0.00008815944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293748,"about_ca_system_score_gemma":0.00008278311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191308,"about_ca_topic_score_gemma":0.00001770406,"domain_scores_codex":[0.9975388,0.0004072884,0.0003410843,0.0004346772,0.0008542709,0.0004238869],"domain_scores_gemma":[0.9976012,0.001731158,0.00004773516,0.0003758293,0.0001779313,0.0000661558],"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":[0.00005343346,0.000278556,0.09744397,0.0003129596,0.000002101574,0.00002236474,0.0007295728,0.01270172,0.8724422,0.0009609222,0.0003793046,0.01467287],"study_design_scores_gemma":[0.0004667885,0.0002730722,0.603705,0.0002817705,0.000003744972,0.000009117531,0.0001899969,0.07754182,0.2993968,0.01360495,0.00425182,0.0002751636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957963,0.00001757356,0.0007057003,0.0003907025,0.0001741987,0.0003029374,0.000002015,0.00005812209,0.002552438],"genre_scores_gemma":[0.9982189,0.000002693386,0.0003869962,0.00002138789,0.0002957685,0.00001127838,0.000001695955,0.00001911313,0.001042195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5730454,"threshold_uncertainty_score":0.3299108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1654214211925692,"score_gpt":0.4426394477659725,"score_spread":0.2772180265734033,"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."}}