{"id":"W2591927717","doi":"10.1016/j.transci.2017.03.007","title":"Extracellular vesicle characteristics in stored red blood cell concentrates are influenced by the method of detection","year":2017,"lang":"en","type":"review","venue":"Transfusion and Apheresis Science","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Blood Services; University of Alberta","funders":"","keywords":"Extracellular vesicles; Microvesicles; Exosome; Microvesicle; Vesicle; Extracellular vesicle; Nanoparticle tracking analysis; Flow cytometry; Zeta potential; Chemistry; Biophysics; Nanotechnology; Cell biology; Materials science; Nanoparticle; Immunology; Biology; Biochemistry; microRNA; Membrane","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":[0.001088412,0.0009517958,0.001651588,0.001487374,0.000199136,0.001697195,0.0009287228,0.001421823,0.00120459],"category_scores_gemma":[0.00127438,0.0003599957,0.0004528038,0.001353309,0.0008469316,0.001753717,0.0008431736,0.001721955,0.0009603734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573519,"about_ca_system_score_gemma":0.0008486608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006579126,"about_ca_topic_score_gemma":0.0007063086,"domain_scores_codex":[0.9996297,0.00005152822,0.00005598009,0.00007964286,0.0001494123,0.00003366289],"domain_scores_gemma":[0.9993777,0.0003709315,0.00009076815,0.00001894411,0.0001189563,0.00002263666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001242548,0.00004717633,0.0004564599,0.01269303,0.00008697619,0.000210073,0.00006853722,0.0003463186,0.01262208,0.005024079,0.006430257,0.9618909],"study_design_scores_gemma":[0.00002193262,0.0001330117,0.001841834,0.003441097,0.0002622908,0.002688847,0.0001153029,0.0003041585,0.01632213,0.003568009,0.9712262,0.0000752093],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002853822,0.9984659,0.0004065642,0.0001325286,0.0001347612,0.000004352256,0.00001831125,0.000005786029,0.0005463453],"genre_scores_gemma":[0.001806404,0.9966453,0.0005961649,0.000134966,0.0001372848,0.000009983207,0.00004085822,0.000003257148,0.0006258728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001697195,"threshold_uncertainty_score":0.00575614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242455245467813,"score_gpt":0.3197578122824747,"score_spread":0.2955122877356934,"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."}}