{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003396628,0.0004501277,0.0004069045,0.0001075444,0.0001403501,0.0001343162,0.0005723189,0.0003562834,0.00003521951],"category_scores_gemma":[0.0002900695,0.0004193085,0.0005674401,0.0002641412,0.0001384475,0.000009760027,0.0001568019,0.0002896858,0.00003912776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000582274,"about_ca_system_score_gemma":0.0004057839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001179835,"about_ca_topic_score_gemma":3.238933e-7,"domain_scores_codex":[0.9964323,0.0005224896,0.0009765873,0.001120453,0.0002931207,0.0006550407],"domain_scores_gemma":[0.9985169,0.0002296061,0.0001015177,0.0007413758,0.0001153132,0.0002953306],"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":[0.0001510993,0.0002178293,0.00007760826,0.00006203096,0.0003958587,0.00004267643,0.00008536191,0.0003916798,0.6882122,0.0006781915,0.0001610474,0.3095244],"study_design_scores_gemma":[0.0007991677,0.0003589894,0.0002794151,0.00004235975,0.00004904706,0.00001169399,0.00003617846,0.004064809,0.6796508,0.0003592688,0.3138281,0.0005201576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2906714,0.05010489,0.6577442,0.0001311355,0.0005226191,0.0006211401,0.000004706897,0.0001023678,0.00009752107],"genre_scores_gemma":[0.3991367,0.000686305,0.5978811,0.0005499109,0.0003138878,0.0002921849,0.000105566,0.0001697093,0.0008646038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3136671,"threshold_uncertainty_score":0.9998259,"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."}}