{"id":"W4381047089","doi":"10.1002/cam4.6216","title":"Clinical analysis of EV‐Fingerprint to predict grade group 3 and above prostate cancer and avoid prostate biopsy","year":2023,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; Alberta Oil Sands Technology and Research Authority; Prostate Cancer Canada; McGill University; University of Calgary; University of Alberta; Alberta Hip and Knee Clinic","funders":"Alberta Innovates; Prostate Cancer Canada; Alberta Cancer Foundation","keywords":"Prostate cancer; Medicine; Prostate; Biopsy; Prostate biopsy; Cutoff; Logistic regression; Biomarker; Prostate-specific antigen; Internal medicine; Area under the curve; Cancer; Prospective cohort study; Cohort; Urology; Oncology","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":[0.0007178226,0.0003270349,0.001293487,0.0006008108,0.0000814826,0.00001317587,0.00008708234,0.0001056418,0.0001375269],"category_scores_gemma":[0.0001683472,0.0002315064,0.0001333251,0.001973259,0.0004873394,0.00006900477,0.0001050218,0.0002423307,0.000004044131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829905,"about_ca_system_score_gemma":0.0001771184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845719,"about_ca_topic_score_gemma":0.0004021315,"domain_scores_codex":[0.9973416,0.00005929193,0.0008390817,0.0008055794,0.0004716727,0.0004827659],"domain_scores_gemma":[0.9982252,0.0002416049,0.000263015,0.0004308317,0.0001865649,0.000652799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006056189,0.0001459641,0.9071827,0.0005128012,0.002503068,0.0001015245,0.003134944,0.00007349007,0.002864125,0.00006505004,0.005515608,0.07729511],"study_design_scores_gemma":[0.004890052,0.001653347,0.9725397,0.001624627,0.004409084,0.0000100413,0.0005257269,0.001000943,0.0009800909,0.00007772134,0.0120528,0.0002359334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588503,0.01556503,0.00002185296,0.02289451,0.0005020919,0.00148566,0.0004663062,0.0001065753,0.0001077135],"genre_scores_gemma":[0.9197977,0.07639781,0.0001335715,0.001519047,0.0003827993,0.0009630253,0.0001488444,0.00004533007,0.0006118559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07705917,"threshold_uncertainty_score":0.9440559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04030193932009062,"score_gpt":0.3803273897768334,"score_spread":0.3400254504567428,"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."}}