{"id":"W4293780674","doi":"10.3390/biology11081231","title":"Mechanisms and Biomarker Potential of Extracellular Vesicles in Stroke","year":2022,"lang":"en","type":"review","venue":"Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Biology; Stroke (engine); Cell type; Biomarker; Cell; Extracellular vesicles; Central nervous system; Neuroscience; Blood–brain barrier; Extracellular vesicle; Microvesicles; Immunology; Bioinformatics; Cell biology; microRNA; Gene","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":[0.0008139632,0.001004129,0.001491646,0.002332747,0.0003008122,0.001384258,0.000921165,0.002085622,0.001888582],"category_scores_gemma":[0.0009501799,0.0003779444,0.0005726402,0.001417716,0.0007765652,0.001990896,0.001123643,0.002396383,0.001534338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009741343,"about_ca_system_score_gemma":0.0010169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007915255,"about_ca_topic_score_gemma":0.001113023,"domain_scores_codex":[0.9997827,0.00004382881,0.0000343165,0.00003903263,0.00007640791,0.00002367194],"domain_scores_gemma":[0.9996518,0.0002032435,0.00003399019,0.000009928815,0.00007497219,0.00002616875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001092135,0.00007132764,0.0001937278,0.01413389,0.00009701605,0.0003947708,0.00008976274,0.0006453629,0.00295867,0.01363672,0.02777184,0.9398977],"study_design_scores_gemma":[0.00001478394,0.0001057433,0.000610058,0.003836696,0.00007407134,0.001710978,0.00005709086,0.0001665892,0.0009773922,0.00485958,0.9875582,0.0000288101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005864535,0.9990108,0.0000991918,0.0002641082,0.0001506306,0.000002482714,0.000008110292,0.000003937708,0.0004020338],"genre_scores_gemma":[0.0004593026,0.9987409,0.0001144582,0.0001714119,0.0001420542,0.000006224272,0.00001489926,0.000001060721,0.0003497471],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002332747,"threshold_uncertainty_score":0.007067859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276137101036005,"score_gpt":0.2988557189378272,"score_spread":0.2712420088342267,"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."}}