{"id":"W2928833228","doi":"10.3390/ijms20071642","title":"Individual Immune-Modulatory Capabilities of MSC-Derived Extracellular Vesicle (EV) Preparations and Recipient-Dependent Responsiveness","year":2019,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Universität Duisburg-Essen; European Commission; Stem Cell Network","keywords":"Ionomycin; Mesenchymal stem cell; Cytokine; Immune system; Peripheral blood mononuclear cell; CD8; Immunology; Extracellular vesicle; T cell; Stromal cell; Biology; Cell biology; Flow cytometry; In vitro; Chemistry; Microvesicles; Cancer research; Biochemistry; Intracellular","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":[0.0005229092,0.0004080756,0.0004151859,0.0002380961,0.0001296756,0.000483456,0.0001760171,0.0003542536,0.0008490126],"category_scores_gemma":[0.000603649,0.0001110781,0.0003625443,0.0001382971,0.0002185828,0.0002425337,0.0003790133,0.0005254829,0.0002739344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009546688,"about_ca_system_score_gemma":0.00009362905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007021878,"about_ca_topic_score_gemma":0.00008026485,"domain_scores_codex":[0.9994256,0.0002100424,0.000083711,0.0000858663,0.0001076627,0.00008705604],"domain_scores_gemma":[0.9996705,0.0001423102,0.00004715628,0.00005202052,0.00005384728,0.00003412676],"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":[0.0002757254,0.0000264527,0.0003096365,0.00004342639,0.000009633451,0.00002451262,0.00001753202,0.00008614473,0.9976083,0.00003755759,0.00001007322,0.001551038],"study_design_scores_gemma":[0.000009088671,0.0005996204,0.003342743,0.000006486844,0.00004473191,0.0001364832,0.00002273077,0.0003416305,0.9946477,0.00002735949,0.0008176209,0.000003841052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934345,0.001585425,0.003862344,0.00003591816,0.00002906418,0.00007274931,0.0001966683,0.00002105773,0.0007623564],"genre_scores_gemma":[0.9954151,0.0007085841,0.002727934,0.00003676329,0.00002557246,0.0001074365,0.0004281698,0.00002301071,0.0005273919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008490126,"threshold_uncertainty_score":0.002840221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081263267632717,"score_gpt":0.2765176604942515,"score_spread":0.2657050278179243,"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."}}