{"id":"W2015493988","doi":"10.1007/s00330-014-3421-5","title":"Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results","year":2014,"lang":"en","type":"article","venue":"European Radiology","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Neuroradiology; Elaboration; Arteriovenous malformation; Medicine; Interventional radiology; Segmentation; Radiology; Algorithm; Artificial intelligence; Computer science; Neurology","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":[0.001528541,0.001604788,0.001564891,0.002340335,0.0009730031,0.002302411,0.001674611,0.002379639,0.006099599],"category_scores_gemma":[0.0035035,0.0007819195,0.001668125,0.001568724,0.0004252323,0.001025406,0.001048832,0.001009497,0.002846654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511773,"about_ca_system_score_gemma":0.002259137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007846603,"about_ca_topic_score_gemma":0.007284059,"domain_scores_codex":[0.9989071,0.0002778411,0.0001035184,0.0002471741,0.000374566,0.00008983336],"domain_scores_gemma":[0.997831,0.0008770538,0.00008983018,0.0003466062,0.0007747727,0.00008072016],"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":[0.0009261496,0.0004551923,0.005905788,0.0005836185,0.0004557075,0.000391036,0.0004124922,0.07399505,0.1170396,0.001664717,0.005328078,0.7928426],"study_design_scores_gemma":[0.0001196852,0.0003653171,0.007332637,0.0000658758,0.0003090254,0.001533283,0.0002142809,0.8783244,0.09940269,0.002696881,0.009502019,0.000133888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06970005,0.0006442114,0.9204994,0.0001528746,0.0001205157,0.0005002876,0.0008076739,0.00604086,0.00153415],"genre_scores_gemma":[0.1335464,0.0003507905,0.8612462,0.00008389373,0.0000505896,0.0002618859,0.001780081,0.0008234126,0.001856707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007846603,"threshold_uncertainty_score":0.02040523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393427069907364,"score_gpt":0.2859792411488972,"score_spread":0.2720449704498235,"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."}}