{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008633828,0.00120023,0.001310273,0.001033513,0.0002050446,0.001179101,0.0008505706,0.000975323,0.001345033],"category_scores_gemma":[0.0006496657,0.0004736764,0.000594039,0.0008851624,0.0005283658,0.001342658,0.001097428,0.001902187,0.001622079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008599255,"about_ca_system_score_gemma":0.0004955853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006557935,"about_ca_topic_score_gemma":0.0008057123,"domain_scores_codex":[0.9997248,0.00003799647,0.00002255553,0.00005311219,0.0001311324,0.00003040416],"domain_scores_gemma":[0.9998674,0.00005260671,0.00002327451,0.00001118711,0.00003284495,0.00001260462],"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":[0.0001301392,0.0001666174,0.0001343256,0.009744545,0.00009935904,0.0003483878,0.00006635993,0.00196926,0.1990968,0.01950467,0.01220799,0.7565315],"study_design_scores_gemma":[0.00008123988,0.0003212509,0.000976277,0.001743029,0.0001225023,0.001256504,0.00005869799,0.002120912,0.1720777,0.006123703,0.8150328,0.00008541225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00311615,0.976941,0.01395639,0.0004240743,0.0009283597,0.00009387257,0.0001391182,0.00009514348,0.004305847],"genre_scores_gemma":[0.0127856,0.9708241,0.01025871,0.0002712314,0.0002341289,0.0001404704,0.0003588746,0.00003034053,0.005096608],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001345033,"threshold_uncertainty_score":0.006239295,"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."}}