{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021333,0.0001755203,0.0003538101,0.0004110981,0.0002177771,0.000854662,0.0003531018,0.0003842655,0.0009848131],"category_scores_gemma":[0.003679664,0.0002142582,0.0006116833,0.0003521672,0.0005027408,0.0003722343,0.0003777292,0.0003958232,0.0001353255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008340938,"about_ca_system_score_gemma":0.0007675612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007029434,"about_ca_topic_score_gemma":0.005440217,"domain_scores_codex":[0.9992775,0.0003742617,0.00004930175,0.00009137514,0.0001445636,0.0000629117],"domain_scores_gemma":[0.9988511,0.0005540769,0.0003183163,0.00007466949,0.000117252,0.00008457595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01674783,0.0003762204,0.8050439,0.0002201878,0.0006109085,0.0008356115,0.001140869,0.02513474,0.06473624,0.0007361163,0.0004988313,0.08391846],"study_design_scores_gemma":[0.00009743289,0.002164462,0.9702789,0.00002409105,0.0006045423,0.0009239214,0.0004641466,0.01062792,0.01348878,0.0001656154,0.001119174,0.00004098021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957544,0.001754801,0.0009150176,0.0001394999,0.00001742907,0.000008570829,0.00008011554,0.0000227466,0.001307559],"genre_scores_gemma":[0.9994584,0.0001198645,0.0002750213,0.0000137922,0.000006157057,0.0000018857,0.00003104482,0.00001084235,0.00008288218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007029434,"threshold_uncertainty_score":0.01397705,"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."}}