{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007799263,0.00008404043,0.0002278796,0.00003339726,0.00004816469,0.000006542759,0.00005458358,0.00005036088,0.0003259174],"category_scores_gemma":[0.0001617597,0.00004724639,0.0001020518,0.0004166689,0.0002138634,0.00003519156,0.00001891951,0.0001625964,0.000001836925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001142276,"about_ca_system_score_gemma":0.00004859113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000386764,"about_ca_topic_score_gemma":0.00004413391,"domain_scores_codex":[0.9991419,0.00001557428,0.0001761499,0.0001317354,0.0004390012,0.00009560527],"domain_scores_gemma":[0.9992869,0.0001927791,0.00007553412,0.0002424287,0.00008851815,0.0001138712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007954856,0.0005453019,0.8212097,0.00008350854,0.002780654,0.0000190862,0.001702889,0.0001361447,0.1047908,0.001392514,0.0007116441,0.06654818],"study_design_scores_gemma":[0.002160885,0.0001378983,0.9159182,0.00002379702,0.004051221,0.00002266479,0.0000675269,0.003097616,0.07158022,0.002230053,0.0005908732,0.0001190072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930946,0.00002983084,0.005126072,0.0008508042,0.0001078743,0.0001538956,0.0000239876,0.00001672613,0.0005962283],"genre_scores_gemma":[0.9990034,0.00001050231,0.00031069,0.0003596611,0.0001424674,0.000004060014,0.00006827993,0.000006903163,0.00009402673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0947085,"threshold_uncertainty_score":0.3568567,"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."}}