{"id":"W2994808712","doi":"10.1007/s00345-019-03053-6","title":"Decreased accuracy of the prostate cancer EAU risk group classification in the era of imaging-guided diagnostic pathway: proposal for a new classification based on MRI-targeted biopsies and early oncologic outcomes after surgery","year":2019,"lang":"en","type":"article","venue":"World Journal of Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"ASTER","funders":"","keywords":"Medicine; Cohort; Biochemical recurrence; Prostatectomy; Prostate cancer; Proportional hazards model; Biopsy; Internal medicine; Pathological; Nephrology; Retrospective cohort study; Framingham Risk Score; Cancer; Oncology; Disease","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":[0.007036414,0.0007713241,0.0009120904,0.00266621,0.0007508883,0.003088333,0.001903462,0.001514815,0.00186137],"category_scores_gemma":[0.02872634,0.0002783429,0.00112362,0.001308563,0.0008848791,0.001990535,0.001476687,0.001420956,0.00084409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008591077,"about_ca_system_score_gemma":0.001432738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003557651,"about_ca_topic_score_gemma":0.003035391,"domain_scores_codex":[0.996214,0.001276199,0.000427474,0.0006357307,0.001002676,0.0004438526],"domain_scores_gemma":[0.9874626,0.005415153,0.001926273,0.001525205,0.002999383,0.0006714661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004786628,0.00008463555,0.9491071,0.00006792023,0.0001997646,0.00009290034,0.0001969349,0.001023484,0.0008033321,0.001117529,0.00141554,0.0454122],"study_design_scores_gemma":[0.00007153252,0.0008139304,0.9307456,0.0002072568,0.0008157142,0.001393097,0.0007425402,0.05116384,0.002029954,0.007606128,0.00432632,0.00008412434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442942,0.006156261,0.03063065,0.004970729,0.001381716,0.0001361469,0.001097965,0.0002808359,0.01105153],"genre_scores_gemma":[0.9902743,0.0003536426,0.007961388,0.0002265031,0.000358321,0.00003042236,0.0004153367,0.00002794958,0.0003522899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007036414,"threshold_uncertainty_score":0.03721255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166566618902757,"score_gpt":0.2893852053274328,"score_spread":0.2677195391384053,"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."}}