{"id":"W2804413706","doi":"10.1016/j.eururo.2018.05.003","title":"A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts","year":2018,"lang":"en","type":"article","venue":"European Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University of Toronto","funders":"National Cancer Institute","keywords":"Medicine; Prostate cancer; Prostate biopsy; Biopsy; Prostate; Confidence interval; Logistic regression; Rectal examination; Prostate-specific antigen; Receiver operating characteristic; Prostatectomy; Risk assessment; Oncology; Internal medicine; Radiology; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002299074,0.0002220998,0.0003096622,0.00009766201,0.0001127663,0.00001387765,0.00007750551,0.00004826927,0.0001675796],"category_scores_gemma":[0.0001746632,0.000172675,0.0001094942,0.00009743257,0.0002281388,0.00002177375,0.00004632325,0.000161216,0.0008315209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005739067,"about_ca_system_score_gemma":0.00007979874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000512588,"about_ca_topic_score_gemma":0.000005618152,"domain_scores_codex":[0.9984406,0.0003181576,0.0002705191,0.0004997823,0.0001433739,0.0003276122],"domain_scores_gemma":[0.9989119,0.0001260191,0.0001352868,0.0005132933,0.00008918823,0.0002243001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002993213,0.0009438407,0.967573,0.00002983334,0.0002617275,0.007729657,0.0002800229,0.0001394797,0.0008634783,0.00001626583,0.0134351,0.005734379],"study_design_scores_gemma":[0.01259203,0.01779126,0.6934547,0.00008428533,0.0002881024,0.0005271633,0.00001258519,0.009743473,0.00997793,0.00002053022,0.2550298,0.000478161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805931,0.0005105437,0.0001097447,0.0009527368,0.0003876463,0.0007794388,0.0001235355,0.0001680568,0.01637516],"genre_scores_gemma":[0.9935709,0.00003804252,0.0002266053,0.005485957,0.0003084778,0.00004181273,0.00009254547,0.00007019656,0.0001654924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2741183,"threshold_uncertainty_score":0.9999465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932548774936438,"score_gpt":0.2539121307040133,"score_spread":0.2345866429546489,"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."}}