{"id":"W2153181731","doi":"10.1016/j.jbiomech.2012.08.030","title":"Quantitative assessment of the anisotropy of vocal fold tissue using shear rheometry and traction testing","year":2012,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; McGill University","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health","keywords":"Rheometry; Transverse isotropy; Materials science; Shear modulus; Isotropy; Traction (geology); Anisotropy; Modulus; Rheology; Composite material; Stiffness; Mechanical engineering; Physics; Engineering; Optics","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":[0.000607788,0.00007133815,0.0002626528,0.0001739403,0.00003872619,0.000004993042,0.00005079168,0.00006596407,0.00001262478],"category_scores_gemma":[0.0002474966,0.00004727796,0.00007148704,0.000382287,0.00003492725,0.0001732448,0.00002401467,0.0001839127,2.199445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005459471,"about_ca_system_score_gemma":0.0001145204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002401702,"about_ca_topic_score_gemma":9.052081e-7,"domain_scores_codex":[0.9990764,0.00004750455,0.0003803977,0.00004928233,0.0003245871,0.0001218494],"domain_scores_gemma":[0.9989343,0.0001109189,0.0005724803,0.00008622318,0.0002260489,0.00007008816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006050416,0.0002441397,0.005732853,0.0001418875,0.00008916688,0.000002794538,0.0002414436,0.000006405266,0.9787667,0.000583389,0.00002687255,0.01410388],"study_design_scores_gemma":[0.004628169,0.007926089,0.05572496,0.001970062,0.001561435,0.001920833,0.01396763,0.0756819,0.8339659,0.001546354,0.0007769477,0.0003297144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706513,0.0008570801,0.02783019,0.0001907966,0.0002947766,0.00009424021,0.000003327789,0.000002221532,0.00007608802],"genre_scores_gemma":[0.9525983,0.00009920762,0.04717405,0.00003918755,0.00006967596,1.595298e-7,2.925603e-7,0.000009129128,0.000009940415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1448008,"threshold_uncertainty_score":0.1927939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0772380645343107,"score_gpt":0.387206813197068,"score_spread":0.3099687486627573,"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."}}