{"id":"W2057241125","doi":"10.1117/12.811638","title":"Reduction of multi-fragment fractures of the distal radius using atlas-based 2D/3D registration","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Atlas (anatomy); Computer science; Segmentation; Artificial intelligence; Fragment (logic); RADIUS; Computer vision; Cadaver; Nuclear medicine; Anatomy; Medicine; Algorithm","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":[0.0005320683,0.0008665056,0.000847525,0.00159517,0.0003962782,0.0009061897,0.001010169,0.0005637014,0.002120428],"category_scores_gemma":[0.001137736,0.0006789164,0.001522044,0.001196451,0.0005598566,0.0004537395,0.001543803,0.000708063,0.001050777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004792817,"about_ca_system_score_gemma":0.001164178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003481534,"about_ca_topic_score_gemma":0.005634068,"domain_scores_codex":[0.9990797,0.0001155447,0.00005056641,0.0001382049,0.0005684807,0.0000474448],"domain_scores_gemma":[0.9996013,0.00009628631,0.00007026884,0.0001449564,0.00006775014,0.00001931363],"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":[0.0003628166,0.0001048579,0.004065894,0.0003277512,0.0002319086,0.0004249214,0.0003858098,0.3690201,0.107219,0.006834085,0.003781137,0.5072418],"study_design_scores_gemma":[0.00006161312,0.0002575561,0.005278551,0.0000256408,0.0001110506,0.002296659,0.00008323402,0.9041985,0.06592721,0.005302329,0.01631525,0.0001424264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0133779,0.0001862422,0.9837748,0.0000462526,0.00002891787,0.00005020203,0.0001196858,0.001458993,0.0009570897],"genre_scores_gemma":[0.1556633,0.0002305444,0.8418899,0.00004015452,0.00002744368,0.0001137921,0.0002655241,0.000356164,0.001413224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003481534,"threshold_uncertainty_score":0.007093549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395763746843167,"score_gpt":0.2618494013245322,"score_spread":0.2478917638561005,"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."}}