{"id":"W2332450888","doi":"10.1016/j.brachy.2014.02.409","title":"Robotic Manipulator Using Soft Pneumatic Air-muscles Actuators for Needle Guidance in a Phantom Brachytherapy under TRUS Visualization","year":2014,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut interdisciplinaire d'innovation technologique; Quebec - Clinical Research Organization in Cancer; Université de Sherbrooke; Centre hospitalier universitaire de Québec","funders":"","keywords":"Imaging phantom; Prostate brachytherapy; Medicine; Brachytherapy; Visualization; Biomedical engineering; Nuclear medicine; Artificial intelligence; Computer science; Radiology","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":[0.0005087274,0.0005104481,0.000288673,0.0002619585,0.0004148938,0.0003048606,0.0005814385,0.0006941553,0.002891032],"category_scores_gemma":[0.000541696,0.0003240454,0.0003263851,0.0001557611,0.000359908,0.0004266243,0.000536417,0.0002631487,0.0002956514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856763,"about_ca_system_score_gemma":0.0006656253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008989191,"about_ca_topic_score_gemma":0.0009804543,"domain_scores_codex":[0.9998084,0.00003459953,0.00001267756,0.00004753159,0.00007392752,0.00002294297],"domain_scores_gemma":[0.9997527,0.00009683393,0.00003982517,0.00003477067,0.00003738268,0.0000384274],"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":[0.0008392723,0.0001696242,0.001807089,0.0003976625,0.00005506839,0.001316548,0.000722819,0.02899014,0.9005514,0.002124006,0.001069328,0.06195707],"study_design_scores_gemma":[0.0003976416,0.008342022,0.02975773,0.0001787022,0.0003273394,0.006754413,0.0004619859,0.2309599,0.6843966,0.001576514,0.03647124,0.0003758832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6468378,0.0008767791,0.3384282,0.0004957996,0.0002168616,0.0002710781,0.0001910569,0.001540952,0.01114146],"genre_scores_gemma":[0.9023657,0.0002458715,0.08955289,0.00008023724,0.00002480112,0.0001212093,0.00006434638,0.00005000837,0.007494955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002891032,"threshold_uncertainty_score":0.00967145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05457898009236818,"score_gpt":0.3501053268083951,"score_spread":0.295526346716027,"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."}}