{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811537,0.0001753675,0.0001732794,0.00007773255,0.00005827108,0.00002378378,0.000281319,0.00007038745,0.00003004443],"category_scores_gemma":[0.0001787619,0.0001448283,0.00008257245,0.0002994146,0.00008540718,0.000006960593,0.0002250124,0.0001095255,0.00006808418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002303397,"about_ca_system_score_gemma":0.00005621223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003118516,"about_ca_topic_score_gemma":0.00004186096,"domain_scores_codex":[0.9985826,0.0001073826,0.0003976329,0.0003665608,0.0002130259,0.0003327851],"domain_scores_gemma":[0.9990022,0.00002697975,0.0001433574,0.0006368752,0.00008805399,0.0001024871],"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":[0.0003070231,0.0001765681,0.07269891,0.00006540431,0.00002232664,0.0000121544,0.0009242131,0.003595409,0.9169458,0.00007556174,0.0003659655,0.004810662],"study_design_scores_gemma":[0.001077455,0.0005525929,0.04886977,0.00009095458,0.00002701245,0.00001081178,0.0004803106,0.002318054,0.9341735,0.0004826222,0.01149455,0.0004223826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972602,0.0007659969,0.0001132583,0.000160141,0.0001366198,0.001005483,0.0001345099,0.00001541452,0.000408339],"genre_scores_gemma":[0.9970567,0.0000249695,0.001176151,0.00007238556,0.00003746381,0.00006161284,0.0001469504,0.00003866549,0.00138507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02382915,"threshold_uncertainty_score":0.5905927,"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."}}