{"id":"W115202233","doi":"10.1007/978-1-4614-7876-8_20","title":"Long Circulation and Tumor Accumulation","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Nanocarriers; Biodistribution; Nanoparticle; In vivo; Antibody opsonization; Nanotechnology; Blood circulation; Context (archaeology); Systemic circulation; Chemistry; Materials science; Cancer research; Medicine; In vitro; Internal medicine; 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":[0.000327643,0.000469907,0.0003828532,0.0003412662,0.0003723025,0.001256607,0.0004131562,0.0009192847,0.0103944],"category_scores_gemma":[0.0002998592,0.0002613306,0.0002294903,0.0002867023,0.0008627044,0.002083904,0.00093064,0.001567001,0.00425094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009978,"about_ca_system_score_gemma":0.0005262586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137714,"about_ca_topic_score_gemma":0.0008773483,"domain_scores_codex":[0.9998653,0.00001800237,0.000004621292,0.00003856794,0.00005728774,0.00001616915],"domain_scores_gemma":[0.9999111,0.00004353855,0.000009606511,0.000009301151,0.00001859348,0.000007854272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002407282,0.00009159241,0.0001644591,0.001204463,0.00002879531,0.000683899,0.0005200309,0.001236986,0.2664442,0.2937304,0.04536172,0.3902926],"study_design_scores_gemma":[0.00001364474,0.00009945784,0.0002699283,0.000155303,0.00002421477,0.001102279,0.00008262268,0.000944513,0.09726428,0.0434656,0.8565549,0.00002328369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02306455,0.4484537,0.1033901,0.008989951,0.003865864,0.00007199978,0.0003560593,0.0007419408,0.4110659],"genre_scores_gemma":[0.1281011,0.140437,0.01848399,0.003409857,0.001388672,0.0001454709,0.0003371859,0.0004660967,0.7072306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0103944,"threshold_uncertainty_score":0.03477269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315215106389732,"score_gpt":0.2515777726938472,"score_spread":0.2184256216299499,"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."}}