{"id":"W4395696930","doi":"10.1016/j.omtm.2024.101259","title":"Bioengineering extracellular vesicle cargo for optimal therapeutic efficiency","year":2024,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario; Cure SMA","keywords":"Extracellular vesicles; Extracellular vesicle; Extracellular; Chemistry; Cell biology; Biology; Microvesicles; Biochemistry; 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":[0.0005812797,0.0009025989,0.0006834884,0.001119921,0.0002675683,0.001761661,0.0004141213,0.001338426,0.003480847],"category_scores_gemma":[0.0006734141,0.0002230786,0.0006478393,0.0005135938,0.0003165495,0.001164949,0.0005850036,0.00116122,0.0025728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583204,"about_ca_system_score_gemma":0.0003720401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002208785,"about_ca_topic_score_gemma":0.0007206721,"domain_scores_codex":[0.9997328,0.00005208597,0.00003288315,0.00002825625,0.0001130384,0.00004094522],"domain_scores_gemma":[0.9998432,0.00006453797,0.00003915136,0.00001062905,0.00002905234,0.00001342608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003633919,0.0004957682,0.001061657,0.01573695,0.0002067134,0.0006978981,0.0001863098,0.002724329,0.2165807,0.03620147,0.08322243,0.6425224],"study_design_scores_gemma":[0.00005244967,0.0007441763,0.001407215,0.001496432,0.0002223755,0.003811661,0.0001138412,0.001121896,0.1175845,0.007094258,0.8662794,0.00007186359],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01153412,0.9339409,0.02650202,0.005608967,0.00257121,0.0003292846,0.0005856674,0.0002990004,0.01862872],"genre_scores_gemma":[0.05223511,0.8909716,0.02748275,0.006366065,0.002442532,0.0004625075,0.001287204,0.0001445805,0.01860756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003480847,"threshold_uncertainty_score":0.0116446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05447695562238316,"score_gpt":0.4193253004124393,"score_spread":0.3648483447900561,"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."}}