{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003785089,0.0006087399,0.001087481,0.002298835,0.0005229875,0.001948204,0.0007349061,0.0006278076,0.001470851],"category_scores_gemma":[0.01153707,0.0003177898,0.001318957,0.001846659,0.0001956044,0.00102256,0.00114245,0.0008390449,0.0003396771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005895366,"about_ca_system_score_gemma":0.0009850637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003977679,"about_ca_topic_score_gemma":0.005197261,"domain_scores_codex":[0.998457,0.0004949552,0.0001490347,0.0004811244,0.0003162802,0.0001016477],"domain_scores_gemma":[0.996356,0.001580369,0.0007793018,0.0004459718,0.0006474152,0.0001909577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002134492,0.0002082707,0.8428922,0.0001377578,0.003148162,0.000287789,0.0001303919,0.01723475,0.00157965,0.001899865,0.004571533,0.1257751],"study_design_scores_gemma":[0.0005112348,0.0009436691,0.8176218,0.0001853087,0.004717491,0.002228563,0.000325761,0.1533638,0.002221313,0.00912705,0.008615651,0.0001382842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319197,0.003295648,0.05305659,0.0009830185,0.0001473457,0.0003191713,0.002739029,0.0006878746,0.006851723],"genre_scores_gemma":[0.9791881,0.0004821598,0.01742042,0.0002408103,0.00009133252,0.00008030443,0.001875731,0.00008055733,0.000540604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003977679,"threshold_uncertainty_score":0.02001768,"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."}}