{"id":"W2013525041","doi":"10.1016/j.imavis.2008.02.006","title":"Semiautomatic segmentation with compact shape prior","year":2008,"lang":"en","type":"article","venue":"Image and Vision Computing","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Insight Design Labs (Canada); Western University","funders":"","keywords":"Segmentation; Computer vision; Artificial intelligence; Computer science; Pattern recognition (psychology); Mathematics","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":[0.001001472,0.0008943578,0.001372543,0.001719227,0.0005600346,0.002328131,0.001522464,0.001860273,0.002580069],"category_scores_gemma":[0.003772032,0.001761524,0.001309641,0.001835077,0.001125291,0.002239509,0.002311907,0.001823072,0.001960383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007331001,"about_ca_system_score_gemma":0.001555175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803242,"about_ca_topic_score_gemma":0.003582236,"domain_scores_codex":[0.9990381,0.0001782468,0.00006502017,0.0002612498,0.0003913164,0.00006611139],"domain_scores_gemma":[0.9979069,0.0007479342,0.0002030638,0.0008158861,0.0002668798,0.00005934376],"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":[0.0004192427,0.0001286542,0.0007465112,0.0003690848,0.0001303041,0.0001987855,0.0002696346,0.1477146,0.114587,0.02965915,0.005555391,0.7002216],"study_design_scores_gemma":[0.00002873354,0.00009182656,0.0008672248,0.00004239007,0.00004801112,0.0006353592,0.00003368067,0.915047,0.04330096,0.03213348,0.00772207,0.00004935883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002408226,0.000118322,0.996209,0.00005723824,0.00001320446,0.00002468849,0.00004192574,0.0006777224,0.0004496813],"genre_scores_gemma":[0.08108667,0.0003080477,0.9147739,0.0001388037,0.00005904449,0.0001273827,0.0004263721,0.000572503,0.002507221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002580069,"threshold_uncertainty_score":0.008631229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164291218632534,"score_gpt":0.3241962619706669,"score_spread":0.3077671401074135,"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."}}