{"id":"W2090694795","doi":"10.1016/j.rpor.2013.03.034","title":"Impact of magnetic resonance imaging and transrectal ultrasound fusion in the dosimetry of cT3a prostate cancer patients treated with real time HDR brachytherapy","year":2013,"lang":"en","type":"article","venue":"Reports of Practical Oncology & Radiotherapy","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; Princess Margaret Cancer Centre","funders":"","keywords":"Brachytherapy; Prostate cancer; Medicine; Dosimetry; Magnetic resonance imaging; Ultrasound; Nuclear medicine; Prostate; Radiology; Radiation therapy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003411244,0.0002137616,0.0007298067,0.0001143498,0.00002866981,0.000009013967,0.00004472295,0.00009925161,0.0003440403],"category_scores_gemma":[0.00006168373,0.0001199325,0.0001087957,0.0002833524,0.0003882092,0.0001913334,0.000005909843,0.0001878597,3.060029e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835107,"about_ca_system_score_gemma":0.0004252279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004125379,"about_ca_topic_score_gemma":0.00004235072,"domain_scores_codex":[0.9982377,0.0001909194,0.0006765124,0.0003259758,0.0003090212,0.000259863],"domain_scores_gemma":[0.9981542,0.000665601,0.0005867636,0.0002882136,0.0002116827,0.00009349399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002319849,0.002357671,0.8606972,0.0000437558,0.0001559727,0.0002400451,0.001260985,0.000003606756,0.04673985,0.000003457577,0.0001856379,0.085992],"study_design_scores_gemma":[0.004803468,0.01077086,0.9775044,0.0001966732,0.0001527387,0.0005837852,0.00005588704,0.00005688584,0.005432872,0.00002011761,0.0003144696,0.0001078366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902152,0.006971719,0.000002124401,0.0008580954,0.00002476181,0.001553919,0.00002403974,0.00001021328,0.0003399599],"genre_scores_gemma":[0.9846817,0.01416665,0.0007763939,0.00011427,0.00002819874,0.0001552978,0.0000188026,0.00002786263,0.00003083445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168072,"threshold_uncertainty_score":0.6236367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007474817723006272,"score_gpt":0.3197264787456795,"score_spread":0.3122516610226732,"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."}}