{"id":"W7062505791","doi":"","title":"Wave propagation methods for the experimental characterization of soft biomaterials and tissues","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; McGill University","keywords":"Viscoelasticity; Self-healing hydrogels; Shear modulus; Tissue engineering; Phonation; Vibration; Silicone rubber; Characterization (materials science); Vocal folds; Gelatin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006024482,0.0003505872,0.0004442577,0.0001136732,0.0003132967,0.00007990489,0.0001690837,0.0003210687,0.00002508034],"category_scores_gemma":[0.0001301827,0.0002948923,0.00009758875,0.00014275,0.00003374214,0.0003489749,0.00003108678,0.0001205126,0.000004502747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017144,"about_ca_system_score_gemma":0.000007654396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001942342,"about_ca_topic_score_gemma":0.00002218559,"domain_scores_codex":[0.9985433,0.0001281142,0.0005771496,0.0003178166,0.0001704003,0.0002631875],"domain_scores_gemma":[0.9990689,0.000162369,0.0002674541,0.0002817025,0.0001456433,0.00007390024],"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":[0.00004868384,0.00002610064,0.000003366657,0.0003437352,0.00008181877,3.68027e-7,0.00001512114,0.00002323947,0.8741842,0.004205063,2.362162e-7,0.1210681],"study_design_scores_gemma":[0.0003223155,0.00008934239,0.0008052324,0.000113816,0.0001171362,0.000003671949,0.00007303998,0.01001785,0.9820564,0.0007323329,0.005332503,0.0003363493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965618,0.0003007977,0.0001514455,0.00000301546,0.001115582,0.0008966061,0.0003962578,0.0001597072,0.0004147587],"genre_scores_gemma":[0.9952574,0.0001229755,0.00301594,0.00001495703,0.00005922746,0.000298996,0.0009267299,0.0001234189,0.0001803432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207317,"threshold_uncertainty_score":0.9999503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124752835170279,"score_gpt":0.2851867919411386,"score_spread":0.2639392635894358,"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."}}