{"id":"W2924496822","doi":"10.21037/atm.2019.03.49","title":"Identification of the right cell sources for the production of therapeutically active extracellular vesicles in ischemic stroke","year":2019,"lang":"en","type":"letter","venue":"Annals of Translational Medicine","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; European Commission; Volkswagen Foundation; Stem Cell Network","keywords":"Extracellular vesicles; Identification (biology); Stroke (engine); Extracellular; Cell; Medicine; Cell biology; Chemistry; Biology; Biochemistry; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004947892,0.0001736995,0.0002804364,0.00007109845,0.00003280286,0.000002480266,0.000442575,0.0002928385,0.00002321769],"category_scores_gemma":[0.0001619879,0.0001077557,0.0002190881,0.0001059718,0.0004741122,0.000007180297,0.00001936781,0.0002695554,4.399567e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003616604,"about_ca_system_score_gemma":0.0001201581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006586241,"about_ca_topic_score_gemma":0.000003687131,"domain_scores_codex":[0.9983326,0.0001052508,0.0006694549,0.0002998897,0.0004453903,0.0001473698],"domain_scores_gemma":[0.9981568,0.0002951539,0.0006554608,0.0005330703,0.0003459021,0.00001363314],"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":[0.0002370495,0.00009757401,0.0002030285,0.0004962402,0.0001641889,2.6725e-7,0.0001734618,0.0002207905,0.9671977,0.00003355922,0.03028987,0.0008862523],"study_design_scores_gemma":[0.0003701632,0.0001129398,0.001590983,0.0001839231,0.0001747744,0.000001029809,0.00004962406,0.00009140914,0.938964,0.0002975069,0.05806839,0.00009522786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4985067,0.03180424,0.0020156,0.464047,0.0005440203,0.002197625,0.0005414542,0.000004676757,0.0003387416],"genre_scores_gemma":[0.9913622,0.0004328936,0.00009023049,0.005790187,0.0008526161,0.00004389434,0.0003465836,0.00003067122,0.001050709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4928555,"threshold_uncertainty_score":0.4394152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528496483013542,"score_gpt":0.2894111818978376,"score_spread":0.2641262170677022,"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."}}