{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001696086,0.0004270212,0.0003525868,0.0009598978,0.0002198571,0.0009290959,0.0003656911,0.0004580797,0.001606412],"category_scores_gemma":[0.005361198,0.000159972,0.0005089733,0.0005667584,0.0002320472,0.0003336682,0.0004220387,0.0005095828,0.0003844898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552149,"about_ca_system_score_gemma":0.0002780686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136774,"about_ca_topic_score_gemma":0.001460933,"domain_scores_codex":[0.9994318,0.0001897319,0.00005732273,0.0001197966,0.0001427889,0.00005858927],"domain_scores_gemma":[0.9974045,0.0009895287,0.0008379517,0.0001778376,0.0003165597,0.0002736016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002164002,0.00002179233,0.9959637,0.000007808983,0.00003225459,0.00002445774,0.00001133145,0.0004023678,0.000237045,0.00001755812,0.00009853012,0.002966777],"study_design_scores_gemma":[0.00001637405,0.0004212898,0.989767,0.0000156756,0.0000743603,0.0005021535,0.00005325574,0.007671248,0.0009588078,0.0001887585,0.0003199824,0.00001112353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966633,0.0003638532,0.001526865,0.00008634272,0.00001118809,0.00001883629,0.0004469636,0.00004218656,0.0008404799],"genre_scores_gemma":[0.9991453,0.00003477742,0.0005291018,0.0000185542,0.000006296317,0.000004125129,0.0001974299,0.000004205631,0.00006020053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001696086,"threshold_uncertainty_score":0.008969843,"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."}}