{"id":"W3169449442","doi":"","title":"Stochastic Finite Element Modelling of Human Middle-Ear","year":2021,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite element method; Middle ear; Stochastic modelling; Computer science; Stochastic process; Human ear; Process (computing); Work (physics); Applied mathematics; Mathematics; Engineering; Mechanical engineering; Acoustics; Physics; Structural engineering; Statistics","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":[0.0004566368,0.0004927391,0.0004822771,0.0003956087,0.0002100915,0.0006482422,0.0007786608,0.001385131,0.001603307],"category_scores_gemma":[0.001268286,0.0004009998,0.0007230421,0.0003944775,0.0004954861,0.0004549372,0.0004739471,0.0004293562,0.0003865519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423471,"about_ca_system_score_gemma":0.0005686453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860835,"about_ca_topic_score_gemma":0.002172711,"domain_scores_codex":[0.9996443,0.0001056835,0.00002482106,0.00005377397,0.0001473615,0.00002411284],"domain_scores_gemma":[0.9996448,0.000201204,0.00004685168,0.00002386441,0.00007172242,0.00001161653],"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":[0.00001145639,0.00000649337,0.0001505114,0.00002397001,0.000007535071,0.00003279034,0.00003373084,0.9894965,0.003026708,0.003833181,0.00008090388,0.003296303],"study_design_scores_gemma":[0.000001724105,0.000007311505,0.0001102494,0.000005006511,0.000002822296,0.00002914451,0.000005824772,0.997474,0.0004719769,0.001346412,0.0005412543,0.00000417613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01817353,0.0002928475,0.9768519,0.0001342811,0.00003387471,0.00003011736,0.0001488396,0.0001534754,0.004181158],"genre_scores_gemma":[0.8598987,0.0009247726,0.1290646,0.0001234624,0.00003922661,0.000196942,0.0004282496,0.00008835993,0.009235682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003860835,"threshold_uncertainty_score":0.007676721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05789818377332,"score_gpt":0.2532434746628709,"score_spread":0.1953452908895509,"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."}}