{"id":"W4238138043","doi":"10.32920/ryerson.14654520","title":"Development of optical coherence tomography technique for clinical diagnostics and monitoring","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","keywords":"Optical coherence tomography; Materials science; Acoustic radiation force; Imaging phantom; Transducer; Optics; Biomedical engineering; Optical tomography; Tomography; Echogenicity; Shear waves; Ultrasound; Acoustics; Shear (geology); Physics; Medicine","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":[0.00156374,0.0004662204,0.0003684649,0.001513984,0.00024169,0.0008778157,0.0004996253,0.001001886,0.001464526],"category_scores_gemma":[0.001322856,0.0004319962,0.0002530869,0.0007408031,0.0004470488,0.0009520457,0.0005440774,0.001010267,0.0006316159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622971,"about_ca_system_score_gemma":0.0007524965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758231,"about_ca_topic_score_gemma":0.001271661,"domain_scores_codex":[0.9992531,0.0001921392,0.00004272193,0.0001644852,0.0003086772,0.0000388176],"domain_scores_gemma":[0.9992229,0.0002790093,0.0001083906,0.00006929933,0.0002819175,0.00003841582],"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":[0.0002120813,0.0001306288,0.00455169,0.0007165688,0.00007658518,0.0004018705,0.000187639,0.0009089201,0.6399872,0.005921663,0.005341767,0.3415632],"study_design_scores_gemma":[0.000162733,0.001195653,0.01500917,0.0004991335,0.0002470268,0.007454134,0.0002613045,0.03826513,0.7451797,0.004191697,0.1873319,0.0002025198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07015452,0.07591806,0.8272399,0.004328183,0.0007430156,0.0007417019,0.0006507607,0.00163821,0.01858559],"genre_scores_gemma":[0.2070158,0.03197122,0.749826,0.001945872,0.0004980809,0.001052595,0.0003732239,0.0001316654,0.007185513],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00156374,"threshold_uncertainty_score":0.008269966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988658284619884,"score_gpt":0.3150095329886237,"score_spread":0.2751229501424248,"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."}}