{"id":"W3195689182","doi":"10.1016/j.addr.2021.113940","title":"Scaled preparation of extracellular vesicles from conditioned media","year":2021,"lang":"en","type":"review","venue":"Advanced Drug Delivery Reviews","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Horizon 2020; European Cooperation in Science and Technology; European Commission; Stem Cell Network","keywords":"Downstream processing; Scalability; Downstream (manufacturing); Extracellular vesicles; Upstream (networking); Good manufacturing practice; Chemistry; Process engineering; Computer science; Differential centrifugation; Centrifugation; Vesicle; Nanotechnology; Biochemical engineering; Materials science; Chromatography; Membrane; Cell biology; Biotechnology; Engineering; Biochemistry; Biology; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004623584,0.0006360239,0.002264491,0.00008000035,0.00007353455,0.00002677441,0.0005579636,0.0003768852,0.0002049828],"category_scores_gemma":[0.0004889149,0.0005931078,0.001252403,0.0002619581,0.0001624917,0.0000205235,0.0002389236,0.0002434331,0.0001373043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005276408,"about_ca_system_score_gemma":0.0003364115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006568128,"about_ca_topic_score_gemma":0.00002369557,"domain_scores_codex":[0.9957806,0.000897687,0.001673342,0.001026784,0.0002813693,0.0003401718],"domain_scores_gemma":[0.9965579,0.0001616218,0.001361873,0.001518724,0.0001981451,0.000201758],"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":[0.00003014714,0.000172966,0.000002186687,0.00490266,0.0002321435,0.00002879206,0.00003819528,0.00001102715,0.02139425,0.0000380236,0.002993829,0.9701558],"study_design_scores_gemma":[0.000328515,0.00003442719,9.130038e-7,0.008528063,0.001050456,0.000009464804,0.00001986492,0.000005104692,0.009949412,0.00007158235,0.9794543,0.0005478723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001870398,0.9950985,0.0005412153,0.000004131789,0.0003458793,0.001424387,0.0005711869,0.00002167402,0.0001226785],"genre_scores_gemma":[0.0001486593,0.9807479,0.004884564,0.00003925761,0.0003677427,0.0003181587,0.0129535,0.00009696704,0.0004432209],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9764605,"threshold_uncertainty_score":0.999652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695112961333869,"score_gpt":0.3261193286069591,"score_spread":0.2991681989936205,"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."}}