{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005106477,0.0004575076,0.000335838,0.0003684216,0.0003145566,0.001133052,0.0004596285,0.0002056213,0.00004219052],"category_scores_gemma":[0.00008212397,0.0004681722,0.00009922582,0.0003515049,0.0001267167,0.001035624,0.00002591784,0.0003012463,0.00001781107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303533,"about_ca_system_score_gemma":0.00003758084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006438231,"about_ca_topic_score_gemma":0.000003709029,"domain_scores_codex":[0.9976052,0.000001486567,0.0007287215,0.0006171555,0.0004970192,0.0005504354],"domain_scores_gemma":[0.9976173,0.00007978243,0.0002720671,0.0001013024,0.001658335,0.0002712062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008299469,0.0003638911,0.003323898,0.0003722813,0.0002175272,0.000001764296,0.001774714,0.004476512,0.5990248,0.378895,0.004927225,0.006539359],"study_design_scores_gemma":[0.002637941,0.0005146202,0.0511392,0.0004111609,0.0001261099,0.0001889893,0.001578449,0.8424069,0.06639048,0.03074576,0.00215549,0.00170484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926968,0.00004919659,0.1779022,0.003700989,0.001143217,0.002555673,0.0001217386,0.002116865,0.01971334],"genre_scores_gemma":[0.9250593,0.0001200264,0.07335914,0.0002925931,0.0004171035,0.0002425943,0.00008432171,0.0001039907,0.0003209719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8379304,"threshold_uncertainty_score":0.9999039,"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."}}