{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009779255,0.0001215756,0.0001659675,0.0001704684,0.00005277235,0.00006842552,0.0007137734,0.00007434857,0.00003601608],"category_scores_gemma":[0.0002610974,0.0001136866,0.0001361799,0.00008663171,0.0004030722,0.00004245272,0.0001712108,0.00009443342,0.000002906427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002601274,"about_ca_system_score_gemma":0.0003122608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009459926,"about_ca_topic_score_gemma":0.000003089003,"domain_scores_codex":[0.99818,0.0001678229,0.0005024268,0.0002511937,0.0007499577,0.0001485388],"domain_scores_gemma":[0.9987419,0.00004863347,0.0004424425,0.0002193764,0.0004628435,0.00008475185],"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":[0.0001433859,0.0000966973,0.006263947,0.000009916374,0.0001271644,0.00002648563,0.0002560782,0.001476597,0.9899883,0.000880213,0.00002084139,0.000710381],"study_design_scores_gemma":[0.0006320884,0.0004407758,0.009904391,0.00005529438,0.00003016538,0.0001358809,0.0008244334,0.0001150326,0.9865429,0.0007232677,0.0004601602,0.0001356115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900836,0.00763204,0.001246454,0.0001861657,0.000517205,0.0001272716,0.00002194546,0.000003035476,0.0001822521],"genre_scores_gemma":[0.997829,0.0001051968,0.001765378,0.00005809897,0.00006874403,0.000002981455,0.000008292072,0.00001028456,0.0001520362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007745358,"threshold_uncertainty_score":0.4636004,"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."}}