{"id":"W4400893338","doi":"10.1136/jnis-2024-snis.218","title":"E-113 Understanding the sound production mechanism of pulsatile tinnitus using computational fluid dynamics","year":2024,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Mechanism (biology); Computer science; Pulsatile flow; Tinnitus; Dynamics (music); Sound (geography); Production (economics); Sound production; Acoustics; Physics; Audiology; Medicine","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":[0.0002190944,0.0004057641,0.0003076498,0.000560042,0.0003902774,0.001293663,0.0005076615,0.001259361,0.009405514],"category_scores_gemma":[0.001036511,0.0001934513,0.0005812958,0.0002345317,0.0005016197,0.0009324636,0.0008290179,0.0005243958,0.001496215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573305,"about_ca_system_score_gemma":0.0006250154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004321669,"about_ca_topic_score_gemma":0.001830359,"domain_scores_codex":[0.999907,0.00002078874,0.000006367683,0.00001703715,0.00003204335,0.00001682304],"domain_scores_gemma":[0.9997459,0.0001220575,0.00002542477,0.00001961959,0.00006768955,0.00001931438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002385922,0.0002238615,0.01674394,0.0004632926,0.00008639689,0.001242015,0.0003769967,0.8131168,0.03549892,0.03002872,0.01667318,0.08530737],"study_design_scores_gemma":[0.0000157693,0.00002167687,0.001482205,0.00003503566,0.000007509731,0.0001160356,0.000082436,0.9853266,0.002074,0.005016522,0.005803037,0.00001914003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2659822,0.002990979,0.6541111,0.004739391,0.00133704,0.0002411348,0.001928009,0.003137249,0.06553275],"genre_scores_gemma":[0.917694,0.001735239,0.06498265,0.0005337113,0.0002451718,0.0001453483,0.0009640835,0.0002937758,0.01340603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009405514,"threshold_uncertainty_score":0.03146464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05268701556102093,"score_gpt":0.2730627465414679,"score_spread":0.220375730980447,"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."}}