{"id":"W4307244450","doi":"10.1002/jex2.63","title":"Large‐scale production of extracellular vesicles: Report on the “massivEVs” ISEV workshop","year":2022,"lang":"en","type":"article","venue":"Journal of Extracellular Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Extracellular vesicles; Extracellular vesicle; Scale (ratio); Nanotechnology; Production (economics); Computer science; Chemistry; Biology; Materials science; Cell biology; Microvesicles; Geography; Biochemistry; Cartography","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":[0.00331321,0.0003334513,0.0004923899,0.0001987278,0.0003707118,0.00002116302,0.000934222,0.0002340771,0.0004013441],"category_scores_gemma":[0.00109161,0.0002624109,0.0005558743,0.0003427308,0.0003602459,0.00001503205,0.0003748622,0.0007542577,0.000008722806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007082272,"about_ca_system_score_gemma":0.0003461244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002157241,"about_ca_topic_score_gemma":0.000004827155,"domain_scores_codex":[0.9960819,0.0009142483,0.001385733,0.0005812277,0.0005254438,0.0005113701],"domain_scores_gemma":[0.9962968,0.0001372379,0.001859841,0.001164966,0.000365998,0.0001751103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006994268,0.0009061887,0.002152117,0.00003793801,0.0002074406,0.000367347,0.000316378,0.001323623,0.9855989,0.001015341,0.006584641,0.000790715],"study_design_scores_gemma":[0.001586061,0.002411499,0.0005298182,0.0001444726,0.0002514673,0.003182737,0.004660905,0.0001739046,0.7940003,0.001839325,0.190576,0.0006435422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715652,0.019709,0.004415459,0.001829769,0.001626204,0.0004980176,0.00003741674,0.00001214591,0.0003067465],"genre_scores_gemma":[0.993754,0.0003224291,0.0008239325,0.0001602055,0.0008522331,0.00004032601,0.0001044377,0.00006225882,0.0038802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915985,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403461256602684,"score_gpt":0.2647965220660284,"score_spread":0.2507619095000015,"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."}}