{"id":"W4225259139","doi":"10.3390/mi13050730","title":"Microfluidic Platforms for the Isolation and Detection of Exosomes: A Brief Review","year":2022,"lang":"en","type":"review","venue":"Micromachines","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microvesicles; Extracellular vesicles; Exosome; Vesicle; Microfluidics; Nanoparticle tracking analysis; Isolation (microbiology); Nanotechnology; Cell biology; Computational biology; Chemistry; Biology; microRNA; Bioinformatics; Materials science; Membrane; Biochemistry; Gene","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":[0.0003396667,0.0002530283,0.0005309833,0.00004282331,0.0001432163,0.00001307811,0.0002678238,0.0001320994,0.00002136898],"category_scores_gemma":[0.0001655484,0.0001693301,0.0004042317,0.0001119456,0.00007718288,0.000003213474,0.0001788304,0.0001229995,9.491148e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001648665,"about_ca_system_score_gemma":0.00008075548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009501414,"about_ca_topic_score_gemma":0.000004612449,"domain_scores_codex":[0.9989565,0.0000613062,0.0004287594,0.0003375394,0.00007902597,0.0001368645],"domain_scores_gemma":[0.9990475,0.00009531421,0.0003496381,0.0004431188,0.00003024185,0.00003414933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001931693,0.00003179863,0.000003404361,0.03552702,0.0001866332,7.037164e-7,0.000008661459,5.63266e-8,0.04380207,0.000007166471,0.00245739,0.9179558],"study_design_scores_gemma":[0.0001470581,0.0001022122,0.00000329836,0.002036678,0.0008078025,0.00008046369,0.000004517961,0.000003216963,0.002286962,0.00002206679,0.9943215,0.0001842334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002782658,0.99701,0.001002195,0.00001260163,0.0001343359,0.001336337,0.0002049297,0.000007874629,0.00001345136],"genre_scores_gemma":[0.00006475733,0.9983989,0.00008453887,0.00009959237,0.0001357805,0.0003269253,0.0006577831,0.00005104988,0.00018068],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9918641,"threshold_uncertainty_score":0.6905081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671527184047459,"score_gpt":0.3102451842461658,"score_spread":0.2835299124056912,"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."}}