{"id":"W2095158582","doi":"10.1016/j.brachy.2011.02.083","title":"Prostate Biopsy Improves GTV Delineation Accuracy in MRI-Guided and Tumor-Targeted Salvage HDR Brachytherapy","year":2011,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Biopsy; Brachytherapy; Radiology; Prostate; Radiation therapy; Prostate biopsy; Magnetic resonance imaging; Nuclear medicine; Sampling (signal processing); Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002833289,0.0003912033,0.0005390823,0.0002478686,0.0001069783,0.00004950607,0.00009418455,0.0001137809,0.0002054693],"category_scores_gemma":[0.00005934409,0.0003178798,0.0001105825,0.0003869449,0.0001174272,0.0003750157,0.00002793505,0.0002285311,0.00002789887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553528,"about_ca_system_score_gemma":0.0001510627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005170085,"about_ca_topic_score_gemma":0.0000775582,"domain_scores_codex":[0.9979173,0.00008247019,0.000614087,0.0006366333,0.0002450308,0.0005044995],"domain_scores_gemma":[0.9988398,0.00009159154,0.0002438349,0.0004625208,0.0001446617,0.0002176086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002733082,0.001655105,0.6328806,0.0001870951,0.0003469866,0.0006979623,0.006963449,0.000005215148,0.07196458,0.0004592503,0.001210006,0.2808967],"study_design_scores_gemma":[0.0116584,0.001916351,0.9225566,0.0002594172,0.00007548339,0.0003210656,0.0002827521,0.0006981705,0.05429547,0.0009156641,0.006487921,0.0005327591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877124,0.008200468,0.0002157087,0.001295304,0.0001910629,0.001804335,0.00003546067,0.0001550139,0.0003901849],"genre_scores_gemma":[0.9842833,0.007351731,0.004593082,0.002653987,0.0001621987,0.0004770703,0.0001218542,0.00008653467,0.0002702405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.289676,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025335889007037,"score_gpt":0.2907132674550766,"score_spread":0.2604599085650062,"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."}}