{"id":"W3016605680","doi":"10.1039/c9lc01190k","title":"Microfluidic device for high-throughput affinity-based isolation of extracellular vesicles","year":2020,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital","funders":"National Cancer Institute; University of Michigan; National Institutes of Health; National Science Foundation","keywords":"Isolation (microbiology); Extracellular vesicles; Microfluidics; Throughput; Nanotechnology; Chemistry; Chromatography; Computational biology; Cell biology; Biology; Materials science; Computer science; Microbiology","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":[0.0001506912,0.0001761964,0.0001767694,0.00002741375,0.00006081452,0.00001555694,0.0002341197,0.000143307,0.00002795635],"category_scores_gemma":[0.0002237517,0.0001853066,0.0001319592,0.0001121226,0.00006982734,0.000004191003,0.0000464649,0.0000784501,0.00002155741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029745,"about_ca_system_score_gemma":0.0000959696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004868638,"about_ca_topic_score_gemma":0.000002055102,"domain_scores_codex":[0.9988914,0.0000821426,0.0002834193,0.0003997828,0.0001353867,0.0002078765],"domain_scores_gemma":[0.999231,0.00004956601,0.000150695,0.0003599802,0.00008498807,0.0001238143],"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":[0.0004692732,0.0001565771,0.0005805993,0.0001520714,0.00003346911,0.000003033041,0.00005100824,0.00006949385,0.9937112,0.001093618,0.003040022,0.0006396461],"study_design_scores_gemma":[0.001279829,0.0005865206,0.0005414811,0.00002440648,0.00004425773,4.553088e-7,0.00002461806,0.0003771789,0.9767236,0.0003236484,0.01987457,0.0001994285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723951,0.005986223,0.01980198,0.001005337,0.00008179952,0.0004058112,0.0001355703,0.00003017819,0.0001580013],"genre_scores_gemma":[0.9917595,0.00009542391,0.005723137,0.001632443,0.0002548235,0.00003023366,0.0003929578,0.00004474594,0.00006672339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01936441,"threshold_uncertainty_score":0.7556583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161460992825414,"score_gpt":0.2556450975886242,"score_spread":0.2340304876603701,"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."}}