{"id":"W2989661489","doi":"10.1186/s13287-019-1432-5","title":"Extracellular vesicles derived from human Wharton’s jelly mesenchymal stem cells protect hippocampal neurons from oxidative stress and synapse damage induced by amyloid-β oligomers","year":2019,"lang":"en","type":"article","venue":"Stem Cell Research & Therapy","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Instituto Nacional de Ciência e Tecnologia em Medicina Regenerativa; Instituto Nacional de Ciência e Tecnologia de Neurociência Translacional; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Mesenchymal stem cell; Neuroprotection; Hippocampal formation; Cell biology; Oxidative stress; Stem cell; Chemistry; Biology; Neuroscience; Biochemistry","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":[0.0008438242,0.0005899651,0.0005001608,0.0001612226,0.0004088937,0.0002934104,0.00108037,0.0004612281,0.0003578454],"category_scores_gemma":[0.00001369687,0.0005769785,0.0001933601,0.0002642812,0.0005689267,0.00005015609,0.0005132602,0.0008697024,0.0001352267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008355882,"about_ca_system_score_gemma":0.0002540819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005455981,"about_ca_topic_score_gemma":0.0000559053,"domain_scores_codex":[0.9939718,0.00180356,0.0005565932,0.001611159,0.0009508497,0.001106075],"domain_scores_gemma":[0.9971416,0.000270838,0.0002443119,0.001506382,0.0002342943,0.0006025684],"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":[0.0006277415,0.0004206447,0.001892713,0.00005591186,0.0002121382,0.00005674505,0.001013122,0.00002246093,0.9920623,0.00001043117,0.0004641251,0.003161631],"study_design_scores_gemma":[0.002377806,0.001163635,0.001457828,0.00006997489,0.00002225194,8.263938e-7,0.003191918,0.0001070115,0.9885975,0.0001183006,0.002291527,0.000601389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834358,0.01290949,0.00009676995,0.00009877561,0.0001376073,0.002241273,0.000751405,0.00005280466,0.000276038],"genre_scores_gemma":[0.995093,0.001193843,0.0001520385,0.00006550722,0.0002024106,0.0001738494,0.0005172621,0.0001574906,0.002444631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171565,"threshold_uncertainty_score":0.9996682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891519613184167,"score_gpt":0.2902297503290428,"score_spread":0.2613145541972011,"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."}}