{"id":"W2942115245","doi":"10.1097/01.ju.0000555220.43463.25","title":"MP13-07 NEXT-GENERATION LIQUID BIOPSIES USING EXTRACELLULAR VESICLE DETECTION BY NANOSCALE FLOW CYTOMETRY","year":2019,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flow cytometry; Liquid biopsy; Medicine; Extracellular vesicles; Nanotechnology; Cancer; Art history; Art; Cell biology; Immunology; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001391548,0.0006294883,0.0003771743,0.001704593,0.0006625137,0.002317422,0.0009107495,0.002054615,0.1016811],"category_scores_gemma":[0.001258797,0.0006043265,0.0007482565,0.0004953468,0.0003389202,0.001295478,0.001249267,0.001805321,0.04908948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041832,"about_ca_system_score_gemma":0.001262606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432436,"about_ca_topic_score_gemma":0.003334851,"domain_scores_codex":[0.9991046,0.00009537404,0.00004112033,0.0001013886,0.0005856934,0.00007181346],"domain_scores_gemma":[0.9991077,0.000125294,0.00005223277,0.0001020493,0.0004509964,0.0001616229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005557308,0.0003281489,0.003040646,0.0004683428,0.00007661507,0.0006424535,0.00009117478,0.0005038364,0.2037199,0.006896834,0.5520315,0.2316449],"study_design_scores_gemma":[0.0001274847,0.0004018051,0.005308908,0.0001859836,0.00005623881,0.002495334,0.00008241176,0.007388812,0.2574714,0.001869228,0.7245317,0.0000808002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09033786,0.02829421,0.226707,0.03627886,0.01843919,0.003945715,0.03175326,0.02981301,0.5344309],"genre_scores_gemma":[0.1270832,0.01673298,0.1895552,0.01205749,0.002690357,0.001955417,0.02361452,0.003386483,0.6229242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1016811,"threshold_uncertainty_score":0.3401572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931235421184121,"score_gpt":0.2598687072488837,"score_spread":0.2405563530370425,"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."}}