{"id":"W2568778122","doi":"10.1016/j.heares.2017.01.002","title":"Estimation of the Young's modulus of the human pars tensa using in-situ pressurization and inverse finite-element analysis","year":2017,"lang":"en","type":"article","venue":"Hearing Research","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modulus; Finite element method; Eardrum; Isotropy; Young's modulus; Materials science; Distance modulus; Acoustics; Optics; Composite material; Structural engineering; Physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003087484,0.0003352712,0.0002518201,0.0006101354,0.0001705092,0.0003957468,0.0003644069,0.0005224688,0.001558255],"category_scores_gemma":[0.000694828,0.0003998135,0.0003085001,0.0002935399,0.0002552134,0.0008093023,0.0002094727,0.0001610208,0.0004208906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224396,"about_ca_system_score_gemma":0.0002492546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008043686,"about_ca_topic_score_gemma":0.001411872,"domain_scores_codex":[0.9998991,0.00002254974,0.000007318658,0.0000293119,0.00003370701,0.000007953857],"domain_scores_gemma":[0.9997454,0.0001488789,0.00002393328,0.00002220227,0.0000496041,0.000009936045],"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":[0.0005278065,0.00009351382,0.0151567,0.0003794628,0.00007523289,0.0003488335,0.0003791508,0.006823757,0.8810075,0.0005260913,0.0002173826,0.09446463],"study_design_scores_gemma":[0.00007420129,0.001106635,0.2069647,0.00006346398,0.0004706432,0.006388852,0.001005752,0.1893778,0.5862042,0.002177223,0.006000919,0.0001655109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722827,0.0008972932,0.12463,0.0001353142,0.00002712699,0.00003920774,0.0002795375,0.0001818114,0.001526999],"genre_scores_gemma":[0.9469938,0.0005469571,0.05053773,0.00003482688,0.00002296319,0.00002563972,0.0001469076,0.00003629549,0.001655008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001558255,"threshold_uncertainty_score":0.005212843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07667766364676262,"score_gpt":0.3398201102579672,"score_spread":0.2631424466112046,"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."}}