{"id":"W3183031970","doi":"10.1158/1538-7445.am2021-307","title":"Abstract 307: Lymph node accumulation of theranostic lipid-based nanoparticles in healthy and diseased models: Preliminary results comparing nanoparticle morphology and targeting","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Lymph; Lymph node; Medicine; Pharmacokinetics; Biodistribution; Drug delivery; Pathology; Cancer research; Pharmacology; In vivo; Nanotechnology; Biology; Materials science","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":[0.0002607917,0.0003228881,0.0002385585,0.000183546,0.0001138529,0.0001628923,0.0001393602,0.000311789,0.0008742969],"category_scores_gemma":[0.0001440934,0.000090997,0.0002162115,0.0001046423,0.0002178284,0.0001581318,0.0001354891,0.0003076621,0.000256749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202352,"about_ca_system_score_gemma":0.0001550076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006800509,"about_ca_topic_score_gemma":0.0006244828,"domain_scores_codex":[0.999904,0.00001404403,0.000008289157,0.00002692252,0.00002569298,0.00002095265],"domain_scores_gemma":[0.9998567,0.00004290404,0.0000283514,0.0000144938,0.00003467897,0.00002286542],"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":[0.0001504086,0.00003895333,0.0001151546,0.00003792119,0.000002097856,0.00002221633,0.00001193167,0.00007434689,0.9989789,0.0000106231,0.00001838785,0.0005390972],"study_design_scores_gemma":[0.00001180534,0.001194228,0.001723167,0.000003659875,0.00001543446,0.00007582291,0.00001474135,0.0006818619,0.9958212,0.00001449842,0.0004404544,0.000003119097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935222,0.0007508411,0.004416224,0.00003847793,0.00001268024,0.00008802697,0.0002885622,0.00006460921,0.0008183607],"genre_scores_gemma":[0.9901561,0.0005881913,0.005502755,0.00005545278,0.000007846493,0.000106779,0.0007786879,0.00003082827,0.00277344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008742969,"threshold_uncertainty_score":0.00292486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396922826419152,"score_gpt":0.3901859662413106,"score_spread":0.2504936835993954,"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."}}