{"id":"W2091169167","doi":"10.1007/s00371-011-0636-1","title":"Segmentation of cam-type femurs from CT scans","year":2011,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Hip disorders and treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Segmentation; Initialization; Femur; Artificial intelligence; Computer science; Computer vision; Acetabulum; Ground truth; Volume (thermodynamics); Anatomy; Geology; Medicine; Physics","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":[0.0004576757,0.000672121,0.0004881562,0.003604283,0.0003143345,0.001258904,0.0006346521,0.00117515,0.005216725],"category_scores_gemma":[0.001989733,0.000622501,0.0007455297,0.001237702,0.0003165875,0.0003191531,0.0004656958,0.000451929,0.001312627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003621103,"about_ca_system_score_gemma":0.001124966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008577194,"about_ca_topic_score_gemma":0.01326118,"domain_scores_codex":[0.9997786,0.00003214501,0.00002558562,0.00003905813,0.00008601073,0.00003850866],"domain_scores_gemma":[0.999523,0.0002121583,0.00004164895,0.00006274157,0.0001306551,0.00002968412],"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":[0.001420362,0.00009939446,0.0120516,0.001110459,0.0001268692,0.001491342,0.0006191047,0.03091769,0.2273303,0.002954964,0.008961449,0.7129166],"study_design_scores_gemma":[0.000356598,0.0005776908,0.1002669,0.0008105718,0.0003862637,0.01662995,0.00107424,0.5870649,0.2389767,0.01027761,0.04337491,0.0002038009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2548817,0.002951815,0.7170151,0.0004489908,0.0001547741,0.0008377276,0.004672661,0.009580741,0.009456433],"genre_scores_gemma":[0.4667315,0.001273936,0.5225021,0.0001703953,0.00007106941,0.0001408408,0.003538647,0.001027837,0.004543773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008577194,"threshold_uncertainty_score":0.01745164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639135548335331,"score_gpt":0.3190163850747499,"score_spread":0.2726250295913966,"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."}}