{"id":"W4387865632","doi":"10.1002/advs.202304389","title":"Creating Designer Engineered Extracellular Vesicles for Diverse Ligand Display, Target Recognition, and Controlled Protein Loading and Delivery","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Extracellular vesicles; Ligand (biochemistry); Nanotechnology; Vesicle; Chemistry; Computer science; Human–computer interaction; Cell biology; Biophysics; Materials science; Biochemistry; Biology; Receptor; Membrane","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005371516,0.0001461796,0.0001518012,0.000081472,0.0003821372,0.00007353756,0.0001459486,0.00005522329,0.000002162855],"category_scores_gemma":[0.0008548575,0.0001401625,0.00004135244,0.0002209887,0.0003420973,0.00004391107,0.0001262537,0.00004815315,0.000003908785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201951,"about_ca_system_score_gemma":0.00006480995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002300677,"about_ca_topic_score_gemma":0.000001591889,"domain_scores_codex":[0.9988064,0.0000256223,0.0001821161,0.0005001494,0.0001471108,0.0003385998],"domain_scores_gemma":[0.9993804,0.00007307529,0.000079579,0.000181945,0.0001260114,0.0001590139],"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":[0.000218654,0.00001564592,0.0001906232,0.00003316697,0.00001078931,0.000007536018,0.00008224462,0.0002154238,0.9939631,0.00006908075,0.00001876671,0.00517494],"study_design_scores_gemma":[0.002672199,0.0001571742,0.0004223942,0.00005502639,0.0000244004,0.000006852966,0.0003213162,0.007766099,0.9865656,0.001396615,0.0003635025,0.0002488116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845766,0.002280554,0.0121811,0.00003532771,0.00005204048,0.0007557853,0.00004162163,0.00003708723,0.00003986014],"genre_scores_gemma":[0.9802955,0.0001449032,0.01891907,0.00003140462,0.00005578118,0.0001527319,0.00004461813,0.00001843401,0.0003375288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007550675,"threshold_uncertainty_score":0.5715663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685096231116641,"score_gpt":0.2503807953314022,"score_spread":0.2335298330202357,"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."}}