{"id":"W2784007128","doi":"10.2147/ijn.s144266","title":"Design and immunological evaluation of anti-CD205-tailored PLGA-based nanoparticulate cancer vaccine","year":2018,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; College of Pharmacy and Nutrition, University of Saskatchewan; University of Saskatchewan","keywords":"Adjuvant; CD86; Immune system; Dendritic cell; Cancer immunotherapy; PLGA; Antigen; Flow cytometry; Materials science; Chemistry; Nanotechnology; Biophysics; Immunotherapy; T cell; Immunology; Biology; Nanoparticle","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":[0.0001670518,0.0002690094,0.0001776242,0.000131117,0.00009644107,0.0002025655,0.0001807821,0.0002760837,0.0004043758],"category_scores_gemma":[0.0001445776,0.00009660187,0.0001595109,0.00008276981,0.0001121667,0.0001714294,0.0001076881,0.0002687213,0.0002182429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521232,"about_ca_system_score_gemma":0.0002407962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004231449,"about_ca_topic_score_gemma":0.0004671993,"domain_scores_codex":[0.9998958,0.0000241521,0.000007955939,0.00002171196,0.00002947618,0.0000209146],"domain_scores_gemma":[0.9999592,0.000006103141,0.00001198475,0.000002447593,0.00001074598,0.000009440963],"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":[0.00007273519,0.00006949169,0.00008826991,0.0000679649,0.000003808185,0.00004286198,0.00001174385,0.0004842342,0.997192,0.0000770296,0.00002975008,0.001860088],"study_design_scores_gemma":[0.00001963665,0.001034798,0.0005654526,0.000005657425,0.00001974089,0.000151927,0.00001400547,0.002760566,0.993264,0.00002928353,0.002129124,0.000005762454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898976,0.001627723,0.006902559,0.0001000712,0.00004235861,0.0001477739,0.0001075694,0.00004709141,0.001127243],"genre_scores_gemma":[0.9894018,0.0008504001,0.008031675,0.00007881136,0.00001269262,0.00008664084,0.0001455053,0.00001220906,0.001380262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004231449,"threshold_uncertainty_score":0.002554893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578456796259056,"score_gpt":0.3293159341280463,"score_spread":0.2935313661654557,"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."}}