{"id":"W4401027610","doi":"10.1016/j.heares.2024.109092","title":"Finite-element modelling of interactions of needle with tympanic membrane and middle ear","year":2024,"lang":"en","type":"article","venue":"Hearing Research","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Middle ear; Inner ear; Gerbil; Finite element method; Membrane; Anatomy; 3d printed; Biomedical engineering; Materials science; Medicine; Biology; Engineering; Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003294077,0.00007305109,0.0001351359,0.000377762,0.000035844,0.0000263083,0.000103261,0.00004714944,0.00003286557],"category_scores_gemma":[0.00005780438,0.00006320737,0.00002028346,0.000447067,0.0001181112,0.00007502166,0.00009656466,0.0004099647,0.000007100109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006072489,"about_ca_system_score_gemma":0.00003122835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173535,"about_ca_topic_score_gemma":0.000009511074,"domain_scores_codex":[0.9991515,0.00001536012,0.0001644315,0.0001339784,0.0002974942,0.0002371982],"domain_scores_gemma":[0.9992876,0.0003987234,0.000008352275,0.0001939967,0.00007565545,0.00003564419],"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":[0.00002874686,0.00004081627,0.0005254128,0.003668378,0.0001553828,0.00002629228,0.001356046,0.9347363,0.05042335,0.002839624,0.0001457075,0.006053921],"study_design_scores_gemma":[0.00008131796,0.000081372,0.00007489392,0.0006987071,0.000008266911,0.000007736193,0.0009906038,0.9421439,0.05510686,0.0002946173,0.0004487369,0.00006294581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550698,0.002899841,0.03915004,0.00007730764,0.00005785023,0.0001909151,0.00001095054,0.0002631503,0.00228015],"genre_scores_gemma":[0.9964795,0.0004148706,0.002867824,4.593213e-7,0.00001556873,0.00001567061,0.000001081706,0.00002721653,0.0001777828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04140973,"threshold_uncertainty_score":0.2577522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482498193018341,"score_gpt":0.3254614395401814,"score_spread":0.1772116202383473,"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."}}