{"id":"W3097127071","doi":"10.3390/ijms21218330","title":"Affinity Captured Urinary Extracellular Vesicles Provide mRNA and miRNA Biomarkers for Improved Accuracy of Prostate Cancer Detection: A Pilot Study","year":2020,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dr. Georges-L.-Dumont University Hospital Centre; Atlantic Cancer Research Institute","funders":"Prostate Cancer Fight Foundation; Atlantic Canada Opportunities Agency; Prostate Cancer Canada; Cancer Research Society","keywords":"Prostate cancer; Biomarker; PCA3; Cancer; Medicine; Prostate biopsy; Prostate; Urinary system; Area under the curve; Liquid biopsy; Biopsy; Oncology; microRNA; Real-time polymerase chain reaction; Extracellular vesicle; Prostate-specific antigen; Internal medicine; Microvesicles; Biology; Gene","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":[0.0008268373,0.0004085995,0.0005501859,0.0002033831,0.0001343629,0.0004653592,0.0002445474,0.0004881935,0.0004940705],"category_scores_gemma":[0.001175047,0.00021208,0.0004106506,0.0001670293,0.0001864253,0.000263608,0.0003337939,0.0003730863,0.0001521869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773194,"about_ca_system_score_gemma":0.0001417229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003221305,"about_ca_topic_score_gemma":0.0002232564,"domain_scores_codex":[0.9993485,0.0002830872,0.00003368558,0.0001238795,0.0001362832,0.00007455031],"domain_scores_gemma":[0.9995276,0.000240176,0.00006161064,0.0000455659,0.0000894404,0.00003560541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002876612,0.001070158,0.01732823,0.0002003293,0.0001715332,0.0002743292,0.0001491088,0.00119233,0.952509,0.00008827887,0.0001657886,0.02397422],"study_design_scores_gemma":[0.0002227545,0.01942621,0.03642958,0.00002137227,0.0003280195,0.001688192,0.0001222957,0.0174472,0.9223049,0.0001080468,0.001852762,0.00004885424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949673,0.000740344,0.003908657,0.00003161334,0.00001930028,0.000061606,0.00007819721,0.00002687104,0.0001661643],"genre_scores_gemma":[0.9959629,0.0002654715,0.003214401,0.00004675589,0.00001577499,0.00003532279,0.0001828637,0.000009022937,0.0002674738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008268373,"threshold_uncertainty_score":0.004372776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459777150388431,"score_gpt":0.3005468815403519,"score_spread":0.2759491100364676,"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."}}