{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884842,0.0001047573,0.000122671,0.00003361006,0.00006166023,0.00001737442,0.0001614187,0.00006666095,0.00001105357],"category_scores_gemma":[0.00003285591,0.00008435884,0.00007032218,0.0001089848,0.00008396377,0.000006747747,0.0001010318,0.00005706437,0.000006584267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007197761,"about_ca_system_score_gemma":0.00003007144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004121839,"about_ca_topic_score_gemma":0.000004001798,"domain_scores_codex":[0.9992597,0.00006712123,0.0002094053,0.0002259859,0.0001008298,0.0001369862],"domain_scores_gemma":[0.9993926,0.00002249463,0.0001360308,0.0003399094,0.00006763916,0.00004131938],"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":[0.00004826338,0.00002582792,0.02805164,0.00004646723,0.00005919926,8.190001e-7,0.00004711466,0.0001152214,0.9712372,0.00008633845,0.00001920357,0.0002627547],"study_design_scores_gemma":[0.0003091564,0.00004159563,0.003000453,0.0000228929,0.0001106984,0.000008227436,0.0002535705,0.006063084,0.9893361,0.00006884787,0.0006676133,0.000117793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788101,0.01802437,0.002795485,0.00002779129,0.0000260993,0.0002016939,0.000007562782,0.000005755803,0.0001011823],"genre_scores_gemma":[0.9975063,0.000159914,0.002012767,0.00004093508,0.00006225141,0.000002445417,0.0000291054,0.0000173572,0.0001689668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505118,"threshold_uncertainty_score":0.3440054,"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."}}