{"id":"W2153380578","doi":"10.1109/robot.2007.363792","title":"An Ultrasound Probe Holder for Image-Guided Robot-Assisted Prostate Brachytherapy","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Prostate brachytherapy; Brachytherapy; Orientation (vector space); Ultrasound; Computer science; Computer vision; Position (finance); Displacement (psychology); Artificial intelligence; 3D ultrasound; Biomedical engineering; Acoustics; Medicine; Radiology; Physics; Mathematics; Radiation therapy","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":[0.0005354541,0.0007656989,0.0005890442,0.0004880374,0.000349694,0.0003539655,0.001265409,0.000874444,0.005017718],"category_scores_gemma":[0.001464507,0.0004193314,0.0003363326,0.0003205824,0.000310485,0.0005751663,0.0005105778,0.0005079219,0.002404326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598517,"about_ca_system_score_gemma":0.0007359423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004828129,"about_ca_topic_score_gemma":0.0005854688,"domain_scores_codex":[0.9994754,0.00008319688,0.00003288595,0.0001017301,0.0002615265,0.00004521128],"domain_scores_gemma":[0.9990214,0.000235489,0.0002252564,0.0001560727,0.0002350091,0.0001268917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002921419,0.0000423302,0.0009061754,0.0003192096,0.00001421483,0.0007573214,0.00007143558,0.001108716,0.9336625,0.001108748,0.003706252,0.05801076],"study_design_scores_gemma":[0.0002096574,0.002854653,0.01838375,0.00008948617,0.0001593854,0.007572094,0.00007172389,0.02164668,0.8786389,0.0003928824,0.06980348,0.0001773432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08331265,0.002537366,0.899833,0.0006149877,0.001010599,0.0006952398,0.0006050162,0.004954495,0.006436656],"genre_scores_gemma":[0.581695,0.001644969,0.4020852,0.0006526349,0.000306724,0.0006992989,0.000872037,0.0003327698,0.01171139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005017718,"threshold_uncertainty_score":0.01678598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114998126195359,"score_gpt":0.3126307609182695,"score_spread":0.2714807796563159,"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."}}