{"id":"W1914838583","doi":"10.1002/rcs.1692","title":"Toward teleoperated needle steering under continuous MRI guidance for prostate percutaneous interventions","year":2015,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Cancer Care Ontario","keywords":"Bevel; Teleoperation; Computer science; Haptic technology; Simulation; Robot; Scanner; Imaging phantom; Biomedical engineering; Medicine; Artificial intelligence; Engineering; Radiology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006042371,0.0001324014,0.0003004669,0.0001606392,0.00003316957,0.000169397,0.0002911937,0.00009480845,0.00001247538],"category_scores_gemma":[0.0001487789,0.0001182475,0.0001932583,0.00009759,0.00004849952,0.00009537546,0.0000681434,0.0002200493,0.000002355684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008158985,"about_ca_system_score_gemma":0.000128983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006203664,"about_ca_topic_score_gemma":0.000004394178,"domain_scores_codex":[0.9983826,0.00002502924,0.0006962786,0.0001124785,0.0006109711,0.0001726873],"domain_scores_gemma":[0.9984986,0.0003123339,0.0001413302,0.00008017758,0.0006644387,0.0003031332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008873488,0.0004050222,0.002180367,0.0002322092,0.001042819,0.0005864241,0.000602805,0.8449045,0.0001620591,0.006446718,0.04606307,0.09728526],"study_design_scores_gemma":[0.001071726,0.0001420364,0.002702067,0.00123089,0.00008354358,0.00368319,0.0002879272,0.9829677,0.00005738273,0.001334451,0.006096992,0.0003421404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02808907,0.001003279,0.963321,0.004111308,0.003267769,0.000098688,0.00001379279,0.00005298643,0.0000420947],"genre_scores_gemma":[0.9637215,0.000339323,0.03493223,0.0002493207,0.000658837,0.000007863744,0.00002231206,0.00003005525,0.0000385835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9356324,"threshold_uncertainty_score":0.4821993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452660880697585,"score_gpt":0.2946928194210719,"score_spread":0.240166210614096,"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."}}