{"id":"W4255466246","doi":"10.32920/ryerson.14660898.v1","title":"Optical Coherence Tomography Detection of Shear Wave","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Acoustic radiation force; Materials science; Transducer; Shear modulus; Wavelength; Shear (geology); Piezoelectricity; Acoustics; Elastography; Gelatin; Shear waves; Optics; Optical coherence tomography; Imaging phantom; Biomedical engineering; Composite material; Physics; Ultrasound; Optoelectronics; Chemistry","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":[0.0004664311,0.0003192955,0.0001512593,0.000865425,0.0001232492,0.0003932941,0.0002366353,0.0004074137,0.001187767],"category_scores_gemma":[0.001143696,0.0002069256,0.00006924428,0.0004409128,0.000297948,0.0005635918,0.000323925,0.0003025586,0.0001983755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445656,"about_ca_system_score_gemma":0.0002576684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008769045,"about_ca_topic_score_gemma":0.001484048,"domain_scores_codex":[0.9997712,0.00005983379,0.00001167724,0.00004633105,0.00007057167,0.00004036975],"domain_scores_gemma":[0.9994406,0.000248154,0.00009735856,0.00003585425,0.0001455215,0.00003251504],"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":[0.0002269074,0.00003323506,0.004140956,0.00009821629,0.00001617833,0.0001393331,0.00007017876,0.0005250497,0.9757307,0.0007462861,0.0003640182,0.01790899],"study_design_scores_gemma":[0.00006099002,0.000284424,0.01884473,0.00003207044,0.00005244692,0.0008186752,0.0001399647,0.03601334,0.9397162,0.0006751871,0.003332008,0.00002991526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327631,0.003676687,0.1563289,0.0005460278,0.00007446849,0.0000871547,0.0005002022,0.0003140639,0.005709322],"genre_scores_gemma":[0.9051896,0.001337511,0.09098863,0.0003055961,0.00004613715,0.0001078133,0.0003140752,0.00004182607,0.001668643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187767,"threshold_uncertainty_score":0.003973484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127652740099998,"score_gpt":0.2069635455060328,"score_spread":0.1956870181050328,"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."}}