{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233105,0.0008087191,0.0006837072,0.0004869423,0.0003410791,0.000953069,0.0004869414,0.0008715716,0.0007471047],"category_scores_gemma":[0.0009896029,0.0003719158,0.0003976783,0.0003677448,0.0005530419,0.0005920003,0.0004550928,0.0007212462,0.0004968724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009246076,"about_ca_system_score_gemma":0.0007447855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009944584,"about_ca_topic_score_gemma":0.001580919,"domain_scores_codex":[0.9992768,0.0001891767,0.00007111116,0.0001859033,0.0001579484,0.0001190328],"domain_scores_gemma":[0.9994363,0.0001244416,0.0001522042,0.00006752766,0.0001463762,0.0000729672],"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":[0.00008978952,0.0000256541,0.0001350134,0.0000392923,0.000004330158,0.00002427629,0.00001928383,0.0001678427,0.9977495,0.0003428331,0.00006131604,0.001340819],"study_design_scores_gemma":[0.00000606347,0.0000763425,0.0002745138,0.000005631943,0.000008590955,0.0001047301,0.000008621487,0.001227986,0.9967182,0.00003331539,0.001525832,0.00001014346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8121617,0.002611226,0.1793168,0.0002783211,0.0001027489,0.0004987556,0.0006406521,0.0006052061,0.00378456],"genre_scores_gemma":[0.7805683,0.002036836,0.2094856,0.0002274766,0.00002302956,0.001038623,0.00111445,0.0004717954,0.005033968],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001233105,"threshold_uncertainty_score":0.006708503,"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."}}