{"id":"W2106376920","doi":"10.1002/rcs.1430","title":"A workspace‐orientated needle‐guiding robot for 3T MRI‐guided transperineal prostate intervention: evaluation of in‐bore workspace and MRI compatibility","year":2012,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":26,"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 Institutes of Health","keywords":"Workspace; Robot; Computer science; Magnetic resonance imaging; Medical physics; Simulation; Artificial intelligence; Medicine; 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":[0.001429365,0.0006306184,0.0003607838,0.0005409538,0.0001984529,0.0002733055,0.0004542449,0.0004753644,0.000728563],"category_scores_gemma":[0.00275759,0.0002518371,0.0003152238,0.0001753439,0.0004006732,0.000451768,0.0004904893,0.0002178244,0.0001183752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002224136,"about_ca_system_score_gemma":0.0004341512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003379317,"about_ca_topic_score_gemma":0.0004317945,"domain_scores_codex":[0.999378,0.0002014846,0.00005161797,0.00007632338,0.0002503289,0.00004232935],"domain_scores_gemma":[0.9980431,0.0006589288,0.0003951257,0.0001741599,0.0005474723,0.0001812193],"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":[0.001716734,0.0004284406,0.004946275,0.0005244577,0.00006373302,0.0002870192,0.000433972,0.0205172,0.9063543,0.0003499651,0.0003087677,0.06406907],"study_design_scores_gemma":[0.0003818199,0.02514184,0.03824755,0.00005788516,0.0002524099,0.002688359,0.0002509336,0.1265265,0.8024375,0.0003827346,0.00341111,0.0002212708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246961,0.0002583888,0.1733854,0.00005531785,0.00002762333,0.0002784132,0.00007057477,0.0005171164,0.0007109672],"genre_scores_gemma":[0.8656855,0.00009509434,0.1333007,0.00003012638,0.000007978425,0.0001860036,0.00008258245,0.00005238583,0.0005595954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001429365,"threshold_uncertainty_score":0.007559299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06267128623936212,"score_gpt":0.3301235717236304,"score_spread":0.2674522854842683,"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."}}