{"id":"W1762574855","doi":"10.1007/978-3-540-85990-1_84","title":"Software Strategy for Robotic Transperineal Prostate Therapy in Closed-Bore MRI","year":2008,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Center for Research Resources; National Science Foundation; National Cancer Institute; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Ministry of Economy, Trade and Industry; Consortia for Improving Medicine with Innovation and Technology","keywords":"Computer science; Fiducial marker; Software; Artificial intelligence; Computer vision; Workflow; Robot; Visualization","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":[0.0002244127,0.0003869219,0.0003180135,0.0002263392,0.0002780506,0.0005429201,0.0007046712,0.0004258562,0.00232358],"category_scores_gemma":[0.0006230458,0.000234725,0.0002982543,0.0001307822,0.0002267993,0.000501773,0.0006603858,0.000319301,0.0005785523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054041,"about_ca_system_score_gemma":0.0004166426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007866563,"about_ca_topic_score_gemma":0.0012139,"domain_scores_codex":[0.9998021,0.00003966505,0.00001214651,0.00003816058,0.00008466342,0.00002339092],"domain_scores_gemma":[0.9997738,0.00006843543,0.00002693339,0.00003609838,0.00007035634,0.00002443974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006396486,0.000282243,0.001825107,0.0002023072,0.00006985245,0.0006635505,0.0002984565,0.1158158,0.3080887,0.01919398,0.003156133,0.5497642],"study_design_scores_gemma":[0.00006539015,0.0005514956,0.001674904,0.00001482755,0.00004145138,0.001106644,0.00005960994,0.9159429,0.06641635,0.007374456,0.006707312,0.00004472641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0273425,0.0000884029,0.9684775,0.00009380038,0.00003515737,0.00004183546,0.00001520632,0.001163576,0.002741985],"genre_scores_gemma":[0.5996249,0.0001023992,0.3930798,0.0001217665,0.00003765017,0.0000909296,0.00007164035,0.0003900282,0.006480807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00232358,"threshold_uncertainty_score":0.007773101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250996314295067,"score_gpt":0.2548163363150385,"score_spread":0.2323063731720879,"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."}}