{"id":"W2969260940","doi":"10.1039/c9an01235d","title":"Multiplex isolation and profiling of extracellular vesicles using a microfluidic DICE device","year":2019,"lang":"en","type":"article","venue":"The Analyst","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"Extracellular vesicles; Dice; Multiplex; Microfluidics; Extracellular; Vesicle; Chemistry; Nanotechnology; Chromatography; Biophysics; Materials science; Biology; Cell biology; Biochemistry; Bioinformatics; Membrane; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000663995,0.0006137073,0.0005306041,0.0007656486,0.0003911076,0.000594457,0.0004478247,0.0006748585,0.0005585377],"category_scores_gemma":[0.0006133222,0.0002943565,0.0002799722,0.0002624097,0.0003586002,0.0004234546,0.0006014635,0.0004580919,0.0002675507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133648,"about_ca_system_score_gemma":0.000296418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002462272,"about_ca_topic_score_gemma":0.0003700857,"domain_scores_codex":[0.9994017,0.00005605295,0.00005870597,0.0002141716,0.0002011386,0.00006830083],"domain_scores_gemma":[0.9996797,0.0001160919,0.00005329905,0.00004220559,0.00007857117,0.00003023457],"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":[0.00004081581,0.00002036876,0.0003084218,0.00006903033,0.00001051678,0.00005549214,0.00003920493,0.0002887347,0.9933101,0.0003227163,0.0001645042,0.005369995],"study_design_scores_gemma":[0.000008860507,0.00007409804,0.0008360061,0.000006735379,0.000009396775,0.0001286138,0.00001361692,0.006161284,0.9907107,0.00007983657,0.001951482,0.0000192634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6770208,0.003209826,0.312184,0.0005249985,0.0003207148,0.0007810431,0.001690112,0.0008665922,0.003401889],"genre_scores_gemma":[0.6054721,0.00164837,0.3880769,0.0003396918,0.00006617261,0.0008677623,0.0007150521,0.00005324842,0.002760676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007656486,"threshold_uncertainty_score":0.003511608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529860919849025,"score_gpt":0.2587236448777022,"score_spread":0.2434250356792119,"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."}}