{"id":"W2772306649","doi":"10.1039/c7nr08360b","title":"Technical challenges of working with extracellular vesicles","year":2017,"lang":"en","type":"review","venue":"Nanoscale","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":517,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; Ministero della Salute; Ciência sem Fronteiras; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Medical Research Council; British Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Newton Fund","keywords":"Extracellular vesicles; Vesicle; Nanotechnology; Extracellular; Biophysics; Materials science; Chemistry; Cell biology; Biology; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002789176,0.0004271522,0.001069384,0.00007439849,0.00009376601,0.00002838148,0.0009186306,0.0006896454,0.00001250373],"category_scores_gemma":[0.0001050392,0.0003403363,0.0004665818,0.00005912427,0.0003508823,0.000003363506,0.0002922339,0.0002665931,0.00001697987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002053911,"about_ca_system_score_gemma":0.0002589718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001480378,"about_ca_topic_score_gemma":0.00001397857,"domain_scores_codex":[0.9981207,0.0001286088,0.0004879952,0.0006795784,0.0002566396,0.0003264549],"domain_scores_gemma":[0.9974887,0.0000329658,0.0006335793,0.001651573,0.00005898932,0.0001342414],"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":[0.00002866033,0.0001642129,0.00001508996,0.004855687,0.0001290955,0.00005120452,0.000005812882,3.665002e-7,0.006125062,0.000301003,0.0002929439,0.9880309],"study_design_scores_gemma":[0.000192787,0.0001802183,0.000009890773,0.005591054,0.0004391458,0.00006991569,0.000006817229,3.289797e-7,0.003792188,0.00002995533,0.9892844,0.0004032812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008530528,0.9957031,0.000194476,0.00001526493,0.0001015706,0.0004715347,0.0000282408,0.00002286437,0.003377668],"genre_scores_gemma":[0.002300603,0.994313,0.001727448,0.000003940108,0.0003278415,0.00008447947,0.0001072231,0.0001098805,0.001025605],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9889915,"threshold_uncertainty_score":0.9999049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08703357719759595,"score_gpt":0.3213941859249497,"score_spread":0.2343606087273538,"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."}}