{"id":"W4396973580","doi":"10.1016/j.eururo.2024.05.002","title":"Re: External Validation of the Rotterdam Prostate Cancer Risk Calculator and Comparison with Stockholm3 for Prostate Cancer Diagnosis in a Swedish Population-based Screening Cohort","year":2024,"lang":"en","type":"letter","venue":"European Urology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Prostate cancer; Prostate; Calculator; Cancer; Cohort; Oncology; Prostate cancer screening; Gynecology; Population; Cohort study; Internal medicine; Prostate-specific antigen; Urology; Environmental health","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":[0.01410723,0.0007471855,0.001126663,0.001115915,0.0018259,0.002181737,0.001206914,0.01452504,0.00396483],"category_scores_gemma":[0.09404224,0.000659088,0.0008604705,0.001094954,0.0008526089,0.000967952,0.001035773,0.007880863,0.007667441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271701,"about_ca_system_score_gemma":0.003976243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026637,"about_ca_topic_score_gemma":0.02613803,"domain_scores_codex":[0.9888699,0.004716993,0.002054645,0.000999574,0.002662761,0.0006961593],"domain_scores_gemma":[0.9401493,0.03535833,0.003211084,0.003181251,0.01589643,0.002203709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006352963,0.00008753559,0.03305899,0.00009642414,0.00008402383,0.001508106,0.0002049465,0.00006555669,0.0003724006,0.0005378002,0.9451966,0.01815224],"study_design_scores_gemma":[0.001034359,0.0003158464,0.09480045,0.001422862,0.0005205721,0.00504241,0.001249343,0.002562331,0.00247248,0.003515673,0.886847,0.0002166909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01424248,0.00205664,0.0006366291,0.9117488,0.05499429,0.0001232702,0.002672168,0.0001453509,0.01338042],"genre_scores_gemma":[0.06605007,0.001150372,0.001725155,0.8520666,0.03794185,0.000485201,0.001775997,0.0002433284,0.03856132],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02026637,"threshold_uncertainty_score":0.07460701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808156565233209,"score_gpt":0.2844917474648627,"score_spread":0.2664101818125306,"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."}}