{"id":"W2078072626","doi":"10.1118/1.3292633","title":"Ultrasound B‐scan image simulation, segmentation, and analysis of the equine tendon","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Université du Québec; Centre Hospitalier de l’Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Fascicle; Ultrasound; Tendon; Fiber bundle; Segmentation; Bundle; Fiber; Biomedical engineering; Anatomy; Medicine; Nuclear medicine; Materials science; Artificial intelligence; Computer science; Radiology","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":[0.0003928893,0.0003342859,0.0001869083,0.0006313975,0.000127268,0.0004011195,0.0003293401,0.0006750597,0.00108211],"category_scores_gemma":[0.00187312,0.0002194619,0.0002060699,0.0003472531,0.0003356046,0.0002928782,0.0001980752,0.0002010835,0.0003242559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043225,"about_ca_system_score_gemma":0.0003703058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159324,"about_ca_topic_score_gemma":0.0009762532,"domain_scores_codex":[0.9998875,0.00003608214,0.000009231678,0.0000204089,0.00003907043,0.00000773766],"domain_scores_gemma":[0.9995186,0.000263674,0.0000551936,0.00004319291,0.00009498386,0.00002433694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008926641,0.0002268595,0.01790068,0.0004702877,0.00006776474,0.0006284166,0.0004276243,0.1253721,0.7352084,0.001449026,0.0005295888,0.1168266],"study_design_scores_gemma":[0.00008790249,0.0006923528,0.02228784,0.00004956757,0.00006047104,0.00188712,0.0001662534,0.7030249,0.267598,0.00144831,0.002650963,0.00004631818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5184801,0.0003626842,0.4784674,0.0002086364,0.0000151731,0.0001154906,0.0001151073,0.000781923,0.001453538],"genre_scores_gemma":[0.740151,0.0003220123,0.2583469,0.00006212447,0.00001103871,0.0001215,0.0001655118,0.00007895819,0.0007408695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001159324,"threshold_uncertainty_score":0.003620088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008650244081547541,"score_gpt":0.3005077529104909,"score_spread":0.2918575088289433,"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."}}