{"id":"W2615697870","doi":"10.1016/j.eururo.2017.05.009","title":"Ability of a Genomic Classifier to Predict Metastasis and Prostate Cancer-specific Mortality after Radiation or Surgery based on Needle Biopsy Specimens","year":2017,"lang":"en","type":"article","venue":"European Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Medicine; Prostatectomy; Prostate cancer; Metastasis; Biopsy; Hazard ratio; Oncology; Cancer; Internal medicine; Prostate; Prostate biopsy; Radiation therapy; Biochemical recurrence; Confidence interval","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":[0.00369319,0.0004257458,0.0005900231,0.001155905,0.0002184461,0.0007899367,0.0002900405,0.0004251536,0.0009744049],"category_scores_gemma":[0.01007795,0.0001665328,0.0004262176,0.0003690467,0.0002525655,0.0004286426,0.0005955317,0.0004213901,0.0003422213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002968679,"about_ca_system_score_gemma":0.0003204449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005058458,"about_ca_topic_score_gemma":0.0009611154,"domain_scores_codex":[0.9987317,0.0004725484,0.0001140887,0.0003003886,0.0002723604,0.0001088783],"domain_scores_gemma":[0.9931745,0.004325498,0.001231157,0.0004106865,0.0005696908,0.0002884309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001002679,0.000104544,0.966555,0.00004298167,0.000279671,0.00003707649,0.0000367599,0.00308262,0.002381657,0.00004688668,0.000354239,0.02607598],"study_design_scores_gemma":[0.000141032,0.001714638,0.8959023,0.00006377196,0.0004370367,0.0009676352,0.0001126811,0.09317391,0.005988771,0.0005246812,0.0009237396,0.00004989148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937302,0.0003990186,0.00479051,0.00006639274,0.00001655152,0.00003261018,0.0005243378,0.000043296,0.0003971114],"genre_scores_gemma":[0.9961783,0.00007563231,0.002631757,0.00003564117,0.00001829576,0.00002253004,0.0009252019,0.000005192867,0.0001076293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00369319,"threshold_uncertainty_score":0.01953173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010802524808686,"score_gpt":0.29780099335761,"score_spread":0.2476929681095232,"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."}}