{"id":"W2089799788","doi":"10.3791/2808","title":"Evaluation of Nanoparticle Uptake in Tumors in Real Time Using Intravital Imaging","year":2011,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; University of California, San Diego; National Institutes of Health","keywords":"Intravital microscopy; Nanoparticle; Pathology; Nanotechnology; Biomedical engineering; Computer science; Medicine; Materials science; Internal medicine; Microcirculation","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":[0.0005944946,0.0005390972,0.0005259837,0.0005280225,0.000244398,0.0007652981,0.000445312,0.0008471987,0.0006696255],"category_scores_gemma":[0.0003401311,0.0002358273,0.0002962197,0.0003083869,0.0003148234,0.0005322897,0.0003778902,0.0008459795,0.0004787822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000781895,"about_ca_system_score_gemma":0.0003440995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567953,"about_ca_topic_score_gemma":0.001913265,"domain_scores_codex":[0.9996965,0.00005563081,0.00001705863,0.00008453024,0.00007602576,0.00007032428],"domain_scores_gemma":[0.9997389,0.0001049549,0.00005030473,0.00002385382,0.00005758607,0.00002441219],"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":[0.00002803624,0.00003040169,0.0001562329,0.00003054659,0.00000527865,0.00002777696,0.00002867311,0.0002608189,0.9979728,0.00007246916,0.00001698097,0.001369989],"study_design_scores_gemma":[0.000005640989,0.0004428451,0.002155219,0.000005760493,0.00001982699,0.0001113928,0.00004312594,0.009020807,0.9871873,0.00005660257,0.0009411409,0.00001042695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794279,0.004373568,0.1112429,0.0001536907,0.00005057946,0.0002562158,0.000518598,0.0007961839,0.003180402],"genre_scores_gemma":[0.9087757,0.004278872,0.08044489,0.0001306036,0.00002571051,0.0002843863,0.0005495209,0.0001814043,0.00532882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002567953,"threshold_uncertainty_score":0.005673051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0624333552039397,"score_gpt":0.3931492630024365,"score_spread":0.3307159077984967,"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."}}