{"id":"W1991121567","doi":"10.1121/1.4781375","title":"Making young ears old and old ears even older: Simulating a loss of synchrony","year":2006,"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 Toronto","funders":"","keywords":"Jitter; Audiogram; Audiology; Hearing loss; Computer science; Speech recognition; Mathematics; Medicine; Telecommunications","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":[0.0005893543,0.0004044982,0.0002778638,0.0002488355,0.000143898,0.0003953778,0.0002860618,0.0005178677,0.001103787],"category_scores_gemma":[0.00281348,0.000174744,0.0002759384,0.0001048039,0.0003838426,0.0004630339,0.0006013477,0.0003349808,0.000157428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186978,"about_ca_system_score_gemma":0.0002813082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009794926,"about_ca_topic_score_gemma":0.00113227,"domain_scores_codex":[0.9998228,0.00003978734,0.00002441815,0.00003092377,0.00004856235,0.00003357537],"domain_scores_gemma":[0.999016,0.0005276861,0.0001536706,0.0001142785,0.00005850729,0.0001298123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01175789,0.003585835,0.07165901,0.0005343732,0.0002169402,0.006060202,0.004773908,0.1249197,0.6655685,0.003989373,0.001263464,0.1056708],"study_design_scores_gemma":[0.001783434,0.03233682,0.2799627,0.000267974,0.001062416,0.006427792,0.003401132,0.3641304,0.2840186,0.0136279,0.01260845,0.0003723169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946133,0.00004265532,0.004751367,0.00003856881,0.00002938725,0.00004082935,0.00004923626,0.00003620718,0.0003984038],"genre_scores_gemma":[0.993612,0.00006798551,0.00572464,0.00004775073,0.000007441407,0.00003952488,0.00004844916,0.000009400623,0.0004427822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001103787,"threshold_uncertainty_score":0.003692567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771541996265908,"score_gpt":0.2821267993278025,"score_spread":0.2644113793651435,"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."}}