{"id":"W2161258151","doi":"10.1109/isspit.2007.4458120","title":"Initial Contour for Ultrasound Carotid Artery Snakes","year":2007,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Active contour model; Contouring; Artificial intelligence; Computer vision; Robustness (evolution); Computer science; Contour line; Image segmentation; Segmentation; Computer graphics (images)","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":[0.001922207,0.0008957496,0.0007681465,0.002021215,0.0005734286,0.001586181,0.001331546,0.001881187,0.002653861],"category_scores_gemma":[0.007009964,0.0008827762,0.001027503,0.001379836,0.001258993,0.001510828,0.001459856,0.001475988,0.001876981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007113266,"about_ca_system_score_gemma":0.00080413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202389,"about_ca_topic_score_gemma":0.0008729072,"domain_scores_codex":[0.9990207,0.0002457791,0.00006770834,0.0001744155,0.0004311829,0.00006015016],"domain_scores_gemma":[0.9981029,0.0008824188,0.0001788306,0.0002862473,0.0004648834,0.00008471119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004944588,0.00008958173,0.001311189,0.0004346296,0.00005512637,0.0005830382,0.001056694,0.2260022,0.09604947,0.05258422,0.004781699,0.6165577],"study_design_scores_gemma":[0.00003684495,0.0001246054,0.0004304098,0.00008683144,0.00002846744,0.0002875206,0.00006317488,0.9142185,0.04868619,0.02315173,0.01282397,0.00006185663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003110188,0.0001172532,0.9956908,0.00003194149,0.00001457517,0.00004010301,0.00001616306,0.0005258053,0.0004532062],"genre_scores_gemma":[0.06772633,0.0003019096,0.9297728,0.00004780102,0.00001780466,0.0001316356,0.0001644545,0.0003309279,0.001506266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002653861,"threshold_uncertainty_score":0.01016569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615765379663579,"score_gpt":0.3270460452775928,"score_spread":0.300888391480957,"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."}}