{"id":"W2087630432","doi":"10.1121/1.4828831","title":"A non-linear viscoelastic model for the tympanic membrane","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Viscoelasticity; Linearity; Relaxation (psychology); Materials science; Tympanometry; Frequency domain; Convolution (computer science); Finite element method; Constitutive equation; Hysteresis; Hyperelastic material; Exponential function; Mathematical analysis; Mathematics; Mechanics; Composite material; Physics; Thermodynamics; Computer science","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":[0.0002307079,0.0006530116,0.0005062143,0.0004945476,0.0002760797,0.0008722096,0.001408267,0.001658188,0.002827583],"category_scores_gemma":[0.000743722,0.0003832139,0.0006893644,0.0005555197,0.0004009232,0.001317356,0.0006645549,0.0008130837,0.001475445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119111,"about_ca_system_score_gemma":0.0006778183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055915,"about_ca_topic_score_gemma":0.0007962456,"domain_scores_codex":[0.9997788,0.00004633847,0.00001356055,0.00005433924,0.00008836016,0.00001864155],"domain_scores_gemma":[0.9998136,0.0000704242,0.00003930357,0.00002310782,0.00004331738,0.00001032693],"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":[0.00005729805,0.00009634018,0.0004590491,0.0003159331,0.00003263126,0.0005959148,0.0002523221,0.8579207,0.06856407,0.04213743,0.001715029,0.02785323],"study_design_scores_gemma":[0.000009020813,0.00005699709,0.0002431406,0.0000163052,0.00000922911,0.0001634879,0.00001629963,0.9895761,0.001615809,0.003718928,0.004559364,0.00001534211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03326213,0.001597286,0.9456437,0.0004024552,0.0001973154,0.0001436504,0.0003963729,0.0004856263,0.01787155],"genre_scores_gemma":[0.7354561,0.005502391,0.1611245,0.0003743557,0.0002335004,0.0009589391,0.0006379459,0.0001874671,0.09552489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002827583,"threshold_uncertainty_score":0.009459198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009294358487566507,"score_gpt":0.2265373306063459,"score_spread":0.2172429721187794,"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."}}