{"id":"W2145411744","doi":"10.1109/robot.2008.4543587","title":"Pneumatically Operated MRI-Compatible Needle Placement Robot for Prostate Interventions","year":2008,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Science Foundation","keywords":"Prostate; Computer science; Robot; Medicine; Biomedical engineering; Medical physics; Artificial intelligence; Internal medicine","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":[0.0002529848,0.0003717028,0.0002677275,0.0001712953,0.0002321636,0.0002106487,0.000633804,0.0003840577,0.002597609],"category_scores_gemma":[0.0005472302,0.0002434396,0.0002174524,0.0000801658,0.0002098167,0.0002334036,0.0003343713,0.0002484609,0.0007516734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037028,"about_ca_system_score_gemma":0.0005015523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003528905,"about_ca_topic_score_gemma":0.0004805296,"domain_scores_codex":[0.9998429,0.00003320204,0.00000996364,0.00002439197,0.00007465644,0.0000149087],"domain_scores_gemma":[0.9997998,0.00004655006,0.00003915947,0.00003051101,0.00004573524,0.00003820546],"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":[0.001000083,0.0004825449,0.002712122,0.0003294617,0.00004640405,0.0008019354,0.0001988435,0.02492113,0.8301454,0.002567307,0.003027203,0.1337675],"study_design_scores_gemma":[0.001201862,0.01102244,0.03032192,0.0000884187,0.0002891547,0.007895398,0.0001118258,0.3715961,0.5169532,0.001994872,0.05814414,0.0003807037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3632622,0.0004766078,0.6230273,0.0002163795,0.0002223606,0.0005030572,0.0001890666,0.004721067,0.007381883],"genre_scores_gemma":[0.7688722,0.0001516222,0.223806,0.0001262764,0.00003529841,0.0002304131,0.0001725217,0.00008464758,0.006521037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002597609,"threshold_uncertainty_score":0.008689821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121134671816986,"score_gpt":0.3597558278468725,"score_spread":0.2476423606651739,"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."}}