{"id":"W2754004990","doi":"10.1142/s1793545817420068","title":"Practical obstacles and their mitigation strategies in compressional optical coherence elastography of biological tissues","year":2017,"lang":"en","type":"article","venue":"Journal of Innovative Optical Health Sciences","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Russian Foundation for Basic Research","keywords":"Elastography; Coherence (philosophical gambling strategy); Curvature; Stiffness; Optical coherence tomography; Modulus; Nonlinear system; Materials science; Acoustics; Biomedical engineering; Optics; Computer science; Physics; Ultrasound; Mathematics; Composite material; Medicine; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003447326,0.001066634,0.0007037491,0.000872651,0.0008239124,0.001615839,0.001120589,0.001843975,0.001583063],"category_scores_gemma":[0.007321818,0.0005640193,0.0003331368,0.0006133973,0.001986947,0.002324494,0.001851416,0.001448075,0.0006019882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546302,"about_ca_system_score_gemma":0.0007371419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004913841,"about_ca_topic_score_gemma":0.0008029718,"domain_scores_codex":[0.9978836,0.0007387831,0.0001093553,0.0003167187,0.0008042143,0.0001472185],"domain_scores_gemma":[0.9941636,0.003719111,0.0006088415,0.0005783447,0.0008157167,0.0001144644],"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":[0.0005154018,0.0001603677,0.005911224,0.003347107,0.0001295588,0.001777043,0.001457882,0.02583162,0.5438023,0.05053396,0.002902008,0.3636315],"study_design_scores_gemma":[0.0001021439,0.001862114,0.006443305,0.000836862,0.0003174159,0.00911804,0.002016158,0.2247281,0.6217268,0.07763689,0.0547731,0.0004391257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03884991,0.01099885,0.9421535,0.002767858,0.0002099146,0.0001521916,0.00005305656,0.0004482605,0.004366545],"genre_scores_gemma":[0.4022913,0.01084042,0.5826098,0.0006986433,0.0004584988,0.0003700865,0.0001493483,0.0001584224,0.002423567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003447326,"threshold_uncertainty_score":0.01823139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07535504684840111,"score_gpt":0.4114885840383108,"score_spread":0.3361335371899097,"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."}}