{"id":"W2280121081","doi":"10.18632/oncotarget.6983","title":"Prostate extracellular vesicles in patient plasma as a liquid biopsy platform for prostate cancer using nanoscale flow cytometry","year":2016,"lang":"en","type":"article","venue":"Oncotarget","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Lawson Health Research Institute; Western University","funders":"Prostate Cancer Canada; Lawson Health Research Institute; Movember Foundation; Sanofi","keywords":"Prostate cancer; Medicine; Liquid biopsy; Extracellular vesicles; Prostate; Cancer; Urology; Flow cytometry; Internal medicine; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002408475,0.0003307166,0.0002674359,0.0001258722,0.0001106028,0.00003537421,0.0002499014,0.0002265642,0.0000714678],"category_scores_gemma":[0.0001578108,0.0002672978,0.000164174,0.0001995469,0.0001434784,0.000027752,0.0001609971,0.0000927707,0.00002423977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478037,"about_ca_system_score_gemma":0.0003022929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000522548,"about_ca_topic_score_gemma":0.00004619021,"domain_scores_codex":[0.9978548,0.00005074488,0.0004838286,0.0006942989,0.000240659,0.0006757278],"domain_scores_gemma":[0.9989438,0.00003255637,0.0002017393,0.0004759018,0.0001208723,0.0002251347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001927622,0.0002471377,0.01000005,0.00007871843,0.00005076846,0.00006973639,0.0001973197,0.000204407,0.9814064,0.00002613956,0.0006493139,0.005142417],"study_design_scores_gemma":[0.002287746,0.0008461727,0.0004869653,0.0001566103,0.00003135906,0.00003059812,0.0001065448,0.001110445,0.9533296,0.00023779,0.04085961,0.0005165497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926754,0.004103666,0.001109905,0.0001854785,0.0002815195,0.001007464,0.0005146454,0.00003100193,0.00009092122],"genre_scores_gemma":[0.9908029,0.000303305,0.006689814,0.0001235454,0.0001991753,0.0003092971,0.0001906082,0.0000958806,0.001285512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0402103,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189865284917394,"score_gpt":0.2676169575208334,"score_spread":0.2557183046716595,"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."}}