{"id":"W3031568341","doi":"10.1021/acsnano.0c02240","title":"Suppressing Subcapsular Sinus Macrophages Enhances Transport of Nanovaccines to Lymph Node Follicles for Robust Humoral Immunity","year":2020,"lang":"en","type":"article","venue":"ACS Nano","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Lymph node; Immune system; Antibody; Antigen; Humoral immunity; Lymph; Immunity; Immunology; Biology; Cell biology; Chemistry; Medicine; Pathology","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":[0.00009288817,0.0002568972,0.000245307,0.00008755658,0.0000773104,0.0001991702,0.0001049084,0.0002174571,0.0007999239],"category_scores_gemma":[0.00008472309,0.00008251164,0.0001834395,0.00003694817,0.0001597926,0.0002082108,0.000134987,0.0004414797,0.0001862961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158964,"about_ca_system_score_gemma":0.0001897038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004574105,"about_ca_topic_score_gemma":0.0008920433,"domain_scores_codex":[0.9999104,0.00001370489,0.00000573577,0.00002047836,0.00002196675,0.00002776483],"domain_scores_gemma":[0.9999318,0.00001720811,0.00001744075,0.000007084247,0.00001243198,0.00001404586],"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":[0.00003279767,0.000009709112,0.00005009072,0.00001968947,0.000001022814,0.00000827765,0.000005838863,0.00002280213,0.9994294,0.00001824395,0.000008599426,0.0003934304],"study_design_scores_gemma":[0.00000576103,0.0003021037,0.0006517923,0.000002891248,0.000005612098,0.00004437645,0.00001554888,0.0003609,0.9976833,0.00001450468,0.0009117188,0.000001517159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925372,0.001352659,0.004663417,0.00007942075,0.00006333194,0.00005504317,0.0001096112,0.00006076238,0.001078634],"genre_scores_gemma":[0.9935363,0.0006631364,0.003953759,0.00006762649,0.00001711856,0.00004589748,0.0001028215,0.00002087986,0.001592368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007999239,"threshold_uncertainty_score":0.00267601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347299545208487,"score_gpt":0.2537103363479589,"score_spread":0.230237340895874,"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."}}