{"id":"W2999417476","doi":"10.1117/12.2007669","title":"A fully actuated robotic assistant for MRI-guided prostate biopsy and brachytherapy","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"DOD Prostate Cancer Research Program; National Center for Research Resources; Congressionally Directed Medical Research Programs; National Cancer Institute; Cancer Research Society","keywords":"Computer science; Brachytherapy; Prostate brachytherapy; Prostate biopsy; Imaging phantom; Workflow; Magnetic resonance imaging; Fiducial marker; Interventional magnetic resonance imaging; Medical physics; Radiology; Prostate; Artificial intelligence; Computer vision; Medicine; Radiation therapy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002426417,0.0004737674,0.0002958341,0.0002034964,0.0002295849,0.0003293947,0.001018059,0.0004702122,0.001746485],"category_scores_gemma":[0.0004197647,0.0003013814,0.0003496249,0.0001150309,0.0002414546,0.0004259163,0.0005376729,0.000383349,0.0006518252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372727,"about_ca_system_score_gemma":0.0005323244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002792983,"about_ca_topic_score_gemma":0.0003694371,"domain_scores_codex":[0.9997149,0.00002940347,0.00001612487,0.00006257725,0.0001513475,0.000025656],"domain_scores_gemma":[0.9997613,0.00004272026,0.00006840384,0.00003551849,0.00004773973,0.00004425675],"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":[0.0002663665,0.00008438965,0.0005922496,0.0004574015,0.00003164108,0.0004769578,0.0001664115,0.004728628,0.8460757,0.001989073,0.002479987,0.1426512],"study_design_scores_gemma":[0.0002320632,0.004808881,0.01041029,0.00009645028,0.0002233523,0.009689794,0.00008503765,0.1547742,0.656716,0.001789108,0.1607913,0.0003834845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09711628,0.001467619,0.8886282,0.0002187363,0.0002957546,0.0003271489,0.0002006416,0.006484209,0.005261318],"genre_scores_gemma":[0.534062,0.0007445337,0.4518334,0.0003823346,0.0001554717,0.0003269595,0.0002580988,0.0002227024,0.01201445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001746485,"threshold_uncertainty_score":0.005842566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206137058721131,"score_gpt":0.2282944916622885,"score_spread":0.2162331210750772,"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."}}