{"id":"W2327345464","doi":"10.1016/j.juro.2013.02.1621","title":"241 DETERMINATION OF THE ACCURACY OF FDG-PET/CT IN THE PRIMARY STAGING OF BIOLOGICAL HIGH RISK PROSTATE CANCERS BEFORE LOCAL THERAPIES: INCREASED UPTAKE ASSOCIATED WITH HIGHLY AGGRESSIVE TUMORS","year":2013,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152816,0.0004193626,0.0007180719,0.002089455,0.0005331651,0.002387182,0.0005918099,0.001194437,0.009323915],"category_scores_gemma":[0.005752253,0.0004280587,0.0004993584,0.001206487,0.0007449843,0.0003129865,0.0003446075,0.0007416681,0.004236241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116869,"about_ca_system_score_gemma":0.002464605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1169828,"about_ca_topic_score_gemma":0.2101851,"domain_scores_codex":[0.9989585,0.0001681159,0.00005975562,0.0000919636,0.0006006496,0.0001209436],"domain_scores_gemma":[0.9962426,0.0008059162,0.0002853655,0.0001657058,0.002233809,0.0002666238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001873164,0.0001730647,0.6547083,0.0007351358,0.000578479,0.005704212,0.0001929795,0.001466061,0.02284413,0.0004163818,0.06627709,0.245031],"study_design_scores_gemma":[0.00009773511,0.0003731088,0.9012992,0.0007181888,0.0003979411,0.01316268,0.0004998051,0.003352038,0.01605375,0.0004165069,0.06351475,0.000114359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6294525,0.1851791,0.005709022,0.01522733,0.004322934,0.0004329514,0.006683392,0.000731931,0.1522608],"genre_scores_gemma":[0.9353722,0.02619369,0.00322556,0.001738819,0.00105898,0.00004794721,0.002727514,0.0001767473,0.02945864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169828,"threshold_uncertainty_score":0.2326037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393443105509461,"score_gpt":0.2712268897633057,"score_spread":0.257292458708211,"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."}}