{"id":"W4401926636","doi":"10.1039/d4nr02793k","title":"Liposome biodistribution mapping with <i>in vivo</i> X-ray fluorescence imaging","year":2024,"lang":"en","type":"article","venue":"Nanoscale","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Knut och Alice Wallenbergs Stiftelse; Natural Sciences and Engineering Research Council of Canada; Appendix Cancer Pseudomyxoma Peritonei Research Foundation; Karolinska Institutet; Canadian Cancer Society; Canadian Institutes of Health Research; NanoMedicines Innovation Network","keywords":"Biodistribution; Liposome; In vivo; Fluorescence; Nanotechnology; Materials science; Biophysics; Medical physics; Chemistry; Medicine; Optics; Physics; Biology","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":[0.000301572,0.0003430401,0.0001462259,0.0003144086,0.0001273952,0.0003637731,0.0002064492,0.0004135465,0.001741063],"category_scores_gemma":[0.0002402614,0.0002142039,0.0001744523,0.0001526305,0.000338721,0.0004466863,0.0002390529,0.000319969,0.0005500572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571626,"about_ca_system_score_gemma":0.0002491869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007656688,"about_ca_topic_score_gemma":0.0007166711,"domain_scores_codex":[0.9998634,0.00003207436,0.000009483262,0.00005333361,0.00001930422,0.00002232073],"domain_scores_gemma":[0.9998947,0.00002144446,0.00004190585,0.00001530664,0.00001796511,0.000008525071],"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":[0.00009162382,0.00001146186,0.00007731048,0.00002902795,0.000001967341,0.00002396082,0.00001394999,0.0001429563,0.9979773,0.0001930543,0.00007150834,0.001365809],"study_design_scores_gemma":[0.000009355605,0.00006697015,0.0007399821,0.000006256139,0.000006776548,0.0001368412,0.00001267095,0.002051799,0.9959491,0.000044924,0.0009692333,0.000006010741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.847601,0.001955281,0.1368523,0.0004767773,0.00005486182,0.0002222522,0.0008953333,0.0008335743,0.01110868],"genre_scores_gemma":[0.9371728,0.001098646,0.05512924,0.0001097891,0.00001555194,0.0001762089,0.0005625839,0.0002349426,0.005500177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741063,"threshold_uncertainty_score":0.005824387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008164196282912128,"score_gpt":0.2170314406245225,"score_spread":0.2088672443416103,"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."}}