{"id":"W2104388782","doi":"10.1117/12.844251","title":"Accuracy validation for MRI-guided robotic prostate biopsy","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Biopsy; Prostate biopsy; Prostate cancer; Prostate; Medicine; Displacement (psychology); Radiology; Computer science; Artificial intelligence; Cancer","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":[0.004760748,0.0004560561,0.0004868021,0.001119807,0.000430925,0.0007276179,0.001110528,0.000688363,0.0008172079],"category_scores_gemma":[0.02506366,0.0002706234,0.0003866116,0.0005324982,0.0005501995,0.0004719866,0.0007675897,0.0003065609,0.0005966807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004977012,"about_ca_system_score_gemma":0.000397007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488259,"about_ca_topic_score_gemma":0.002175932,"domain_scores_codex":[0.9935647,0.002103401,0.0003439776,0.0006928384,0.003145263,0.000149852],"domain_scores_gemma":[0.9896193,0.004556989,0.00138524,0.001178839,0.00309776,0.0001619435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004168008,0.0002096725,0.1955475,0.0009444779,0.0007313818,0.0005655627,0.0008233677,0.0310431,0.2828588,0.000856753,0.002388796,0.4798627],"study_design_scores_gemma":[0.0001722082,0.004787009,0.3875957,0.0002555055,0.0007428692,0.009105159,0.0002832043,0.1756611,0.4058311,0.0006629263,0.01460107,0.0003021455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508889,0.01189192,0.1295578,0.0003907479,0.0002352543,0.0001304146,0.0004874024,0.002304216,0.004113348],"genre_scores_gemma":[0.962693,0.0004447704,0.03570998,0.0001133112,0.00004547013,0.00003647487,0.0003264479,0.0001071294,0.0005235894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004760748,"threshold_uncertainty_score":0.02517754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731562870038773,"score_gpt":0.2718535127614173,"score_spread":0.2545378840610296,"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."}}