{"id":"W2912505459","doi":"10.1002/pros.23764","title":"Nanoscale flow cytometry to distinguish subpopulations of prostate extracellular vesicles in patient plasma","year":2019,"lang":"en","type":"article","venue":"The Prostate","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Prostate Cancer Canada","keywords":"Microvesicles; Prostate cancer; CD63; Exosome; Flow cytometry; Prostate; Microvesicle; PCA3; Medicine; Extracellular vesicle; Cancer research; Pathology; Cancer; Chemistry; Internal medicine; Immunology; microRNA","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":[0.0006300476,0.000318793,0.0002968099,0.001256155,0.0002119227,0.0007183183,0.0002707369,0.0008750678,0.002396424],"category_scores_gemma":[0.001351016,0.0001098377,0.0002229844,0.0005409494,0.0001590881,0.0003675967,0.0003328441,0.0005341555,0.0006950807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922651,"about_ca_system_score_gemma":0.0001758289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00037094,"about_ca_topic_score_gemma":0.0003548527,"domain_scores_codex":[0.9994144,0.0001001128,0.00005349071,0.000211415,0.0001661015,0.00005447014],"domain_scores_gemma":[0.9995843,0.0001865215,0.00007267339,0.00002713214,0.0001069909,0.00002239103],"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":[0.0006670716,0.0001703218,0.03433961,0.0002416377,0.00006060716,0.0001059243,0.0001503338,0.0006927132,0.9176537,0.0006462668,0.0009419615,0.04432984],"study_design_scores_gemma":[0.0000708166,0.001028069,0.1589863,0.0001333625,0.00014666,0.00289878,0.0002649914,0.03014675,0.7925422,0.001202207,0.01251156,0.00006832575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037364,0.004620786,0.08084614,0.0005371333,0.0001620137,0.0003547658,0.003403346,0.0007847765,0.005554568],"genre_scores_gemma":[0.9521747,0.0009721614,0.04076357,0.0006070208,0.00008717734,0.0004202742,0.002530822,0.00005942224,0.002384748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002396424,"threshold_uncertainty_score":0.008016884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006378552847484991,"score_gpt":0.2307754770504287,"score_spread":0.2243969242029437,"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."}}