{"id":"W2088047624","doi":"10.1002/cncr.22712","title":"Clinical predictors of gleason score upgrading","year":2007,"lang":"en","type":"article","venue":"Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institutes of Health Research; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Nomogram; Prostatectomy; Prostate cancer; Watchful waiting; Logistic regression; Prostate-specific antigen; Rectal examination; Biopsy; Brachytherapy; Cohort; High-grade prostatic intraepithelial neoplasia; Prostate; Stage (stratigraphy); Cancer; Intraepithelial neoplasia; Oncology; Internal medicine; Urology; Radiation therapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002179959,0.00007910476,0.0002444093,0.00003942945,0.00001860344,0.000002479902,0.00003622908,0.00005978404,0.0001831854],"category_scores_gemma":[0.00004422198,0.00006033887,0.0001080693,0.0001157215,0.0000775257,0.00002750073,0.00001424991,0.00009196944,0.000006938772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498823,"about_ca_system_score_gemma":0.0001196224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006973143,"about_ca_topic_score_gemma":0.0000272564,"domain_scores_codex":[0.9992203,0.000008227382,0.0002843094,0.0001682889,0.0001433547,0.0001755696],"domain_scores_gemma":[0.999453,0.00007231746,0.00008787528,0.0001661336,0.00007008632,0.0001505875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001407246,0.000126702,0.9347058,0.00005919991,0.0001163926,0.00002134501,0.00007996267,0.000001462403,0.0003957454,0.0001133983,0.004461023,0.05977827],"study_design_scores_gemma":[0.001486292,0.0004170357,0.9363824,0.000453462,0.0001599197,0.000004084261,0.0000394779,0.000007310327,0.01972335,0.00003099306,0.04123326,0.00006246482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883674,0.007283263,0.0000799717,0.0003386552,0.0007667282,0.0002511137,0.00001733015,0.00002707591,0.002868398],"genre_scores_gemma":[0.9957939,0.002616958,0.0003052918,0.0003639864,0.000557358,0.00002522797,0.000008346604,0.00001371954,0.0003151753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05971581,"threshold_uncertainty_score":0.2460548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621588566855253,"score_gpt":0.3905812842668342,"score_spread":0.3343653985982817,"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."}}