{"id":"W3183814590","doi":"10.30699/mmlj17.4.1.11","title":"Exosomes of mesenchymal stem cells as nano-cargos for anti-SARS-CoV-2 asRNAs","year":2021,"lang":"en","type":"article","venue":"Modern Medical Laboratory Journal","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microvesicles; Mesenchymal stem cell; Coronavirus disease 2019 (COVID-19); Stem cell; Exosome; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cell biology; Biology; Medicine; microRNA; Gene; Infectious disease (medical specialty); Pathology; Disease; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002106453,0.0002636646,0.0003143031,0.0002595133,0.0002153336,0.000588015,0.0001448276,0.0003832768,0.001195682],"category_scores_gemma":[0.0001700056,0.0001180682,0.0004849817,0.0001769482,0.0001860201,0.0004559479,0.0004187202,0.0004474133,0.0004652481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457103,"about_ca_system_score_gemma":0.0002090367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002344774,"about_ca_topic_score_gemma":0.0003416929,"domain_scores_codex":[0.9998357,0.00002590418,0.0000187087,0.00003168663,0.00005938831,0.0000286052],"domain_scores_gemma":[0.99993,0.00001112722,0.00001438028,0.000006725178,0.00002166352,0.00001604583],"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":[0.0002867828,0.00006982006,0.000496463,0.0006061845,0.00003033714,0.0002959427,0.00008885226,0.000517011,0.9736668,0.001360153,0.0007341842,0.02184751],"study_design_scores_gemma":[0.00004887135,0.0004932636,0.002346511,0.0000569315,0.00008031485,0.0005275921,0.00006170646,0.002010042,0.9664264,0.0003015407,0.02762521,0.00002171778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228181,0.02855361,0.03327081,0.001167478,0.0009857105,0.0004019349,0.002065513,0.000521269,0.01021547],"genre_scores_gemma":[0.9678193,0.00851968,0.01494104,0.0004647931,0.0001133367,0.0002577668,0.001194099,0.00007142453,0.00661851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001195682,"threshold_uncertainty_score":0.003999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375487570786515,"score_gpt":0.2825434394652733,"score_spread":0.2687885637574082,"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."}}