{"id":"W3123997015","doi":"10.1021/acsnano.0c09873","title":"Selection of Fluorescent, Bioluminescent, and Radioactive Tracers to Accurately Reflect Extracellular Vesicle Biodistribution <i>in Vivo</i>","year":2021,"lang":"en","type":"article","venue":"ACS Nano","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Brain Tumour Charity; Majlis Amanah Rakyat; British Council; Wellcome Trust; Wellcome","keywords":"Biodistribution; In vivo; Ex vivo; Biophysics; Chemistry; Preclinical imaging; Microvesicle; Luciferase; Cell biology; Microvesicles; Biochemistry; In vitro; Biology","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":[0.0001824251,0.0001722783,0.0001827824,0.00006707713,0.00005766025,0.00002534607,0.0001202007,0.0001579943,0.00002367081],"category_scores_gemma":[0.0001968189,0.0001951474,0.00007138136,0.0004252342,0.00007753644,0.00001279654,0.00009109877,0.0000849122,0.000004872508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006447794,"about_ca_system_score_gemma":0.0001259923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001948585,"about_ca_topic_score_gemma":0.00005047121,"domain_scores_codex":[0.9986699,0.000147205,0.0002938754,0.0004907277,0.0001156096,0.0002826895],"domain_scores_gemma":[0.9993311,0.00001763099,0.000101948,0.000297056,0.000119108,0.0001332026],"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":[0.0002023807,0.0001918215,0.004094749,0.00003519239,0.00003246816,0.00001506639,0.00004878979,0.00001961737,0.9904872,0.00008812985,0.000928291,0.003856296],"study_design_scores_gemma":[0.0006866686,0.0001662123,0.002206728,0.00003149221,0.00002673791,0.00002959891,0.0001307257,0.00006122589,0.9862739,0.0000287392,0.01015549,0.000202473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932804,0.004296515,0.001581821,0.0001821236,0.0001070567,0.0002526793,0.00007832282,0.00001273275,0.0002084262],"genre_scores_gemma":[0.9971235,0.0003469915,0.001911064,0.00007894649,0.00006824685,0.00001771152,0.0001259644,0.00002227911,0.0003052583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009227197,"threshold_uncertainty_score":0.7957881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473864678105093,"score_gpt":0.2731879141157891,"score_spread":0.2584492673347382,"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."}}