{"id":"W2582481970","doi":"10.2147/ijn.s121881","title":"Docetaxel-loaded PLGA and PLGA-PEG nanoparticles for intravenous application: pharmacokinetics and biodistribution profile","year":2017,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Docetaxel; Biodistribution; PLGA; Pharmacokinetics; Pharmacology; Drug delivery; Drug carrier; Materials science; Chemistry; Drug; Medicine; Nanoparticle; Nanotechnology; Cancer; In vitro; Internal medicine; Biochemistry","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":[0.0001376948,0.0002464868,0.000161711,0.0001434662,0.00009859644,0.0002261101,0.0001395923,0.000260055,0.0004050167],"category_scores_gemma":[0.0002145958,0.0001087199,0.0001671648,0.0001374035,0.000156127,0.0002414786,0.00006859429,0.0003434558,0.0001783402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606865,"about_ca_system_score_gemma":0.0003121345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113849,"about_ca_topic_score_gemma":0.0008469191,"domain_scores_codex":[0.9999264,0.00001092685,0.0000058141,0.00002196643,0.00002025697,0.00001458335],"domain_scores_gemma":[0.9999199,0.00001544101,0.00002602681,0.000008585795,0.0000165852,0.00001356818],"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":[0.0005648902,0.0001340624,0.0004073589,0.0000744983,0.000009272077,0.00006366461,0.0000455482,0.0004852459,0.9907399,0.0001048272,0.0001312248,0.007239365],"study_design_scores_gemma":[0.00005186066,0.001492727,0.003423741,0.000008935081,0.00004162617,0.0002588806,0.00002268695,0.004483344,0.9870848,0.00005019237,0.003066386,0.00001475733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988421,0.002812462,0.006907344,0.00009408865,0.00002968346,0.0000620516,0.0001907342,0.00007330665,0.001409398],"genre_scores_gemma":[0.9935081,0.0009855042,0.003072662,0.00004905863,0.00001099146,0.00005757698,0.0002535289,0.00002292443,0.002039692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001113849,"threshold_uncertainty_score":0.002616942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164968385250567,"score_gpt":0.2963656189493737,"score_spread":0.2798687804243171,"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."}}