{"id":"W4367556520","doi":"10.1101/2023.04.29.538761","title":"iPSC-derived healthy human astrocytes selectively load miRNAs targeting neuronal genes into extracellular vesicles","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Brain Tumour Research; University of Toronto; Ontario Rett Syndrome Association; Hospital for Sick Children; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; ZonMw; Simons Foundation Autism Research Initiative; Erasmus+; Canada Research Chairs; Stem Cell Network; European Commission; HSBC Bank USA","keywords":"Extracellular vesicles; microRNA; Extracellular; Cell biology; Gene; Induced pluripotent stem cell; Biology; Neuroscience; Vesicle; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065667,0.0002403927,0.0002510843,0.0001717889,0.0001033031,0.0002844892,0.0001085191,0.0001919383,0.0009894134],"category_scores_gemma":[0.0001196027,0.0001302222,0.0002726083,0.0001144524,0.0001224884,0.0001296284,0.0002415822,0.0003231951,0.0005937993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107038,"about_ca_system_score_gemma":0.0001056947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594609,"about_ca_topic_score_gemma":0.0002528437,"domain_scores_codex":[0.9998637,0.000009881332,0.00002111037,0.00003731445,0.00004549897,0.00002237253],"domain_scores_gemma":[0.9999416,0.000009553648,0.00001271762,0.0000106873,0.00001629177,0.000009117876],"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":[0.00004731823,0.000009921961,0.0001748713,0.00002892776,0.000006183689,0.00005612003,0.00001148685,0.00007647311,0.9982369,0.00007842486,0.00005493206,0.001218299],"study_design_scores_gemma":[0.000005958681,0.00006058034,0.001267314,0.0000044442,0.00001658469,0.0001659437,0.00001430018,0.0008074806,0.9946748,0.00005063937,0.002929249,0.000002761404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753176,0.001325216,0.01768584,0.00007396827,0.0001072005,0.0001276377,0.001937043,0.0002860907,0.003139458],"genre_scores_gemma":[0.9847769,0.0007893325,0.007709095,0.00007000489,0.00001687852,0.0001070717,0.002331557,0.0001003981,0.004098852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009894134,"threshold_uncertainty_score":0.003309906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650767742806623,"score_gpt":0.2469647686930156,"score_spread":0.2304570912649494,"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."}}