{"id":"W2904657629","doi":"10.1002/adhm.201801091","title":"Dendritic Cell Membrane Vesicles for Activation and Maintenance of Antigen‐Specific T Cells","year":2018,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Congressionally Directed Medical Research Programs; National Institute of Allergy and Infectious Diseases; Alberta Emerald Foundation; Melanoma Research Alliance; Emerald Foundation; U.S. Department of Defense; DOD Peer Reviewed Cancer Research Program; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Vesicle; Cell biology; Antigen; Cell; Membrane; Antigen-presenting cell; Dendritic cell; Cell membrane; T cell; Chemistry; Biophysics; Immunology; Biology; Immune system; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002214624,0.0002085675,0.000236982,0.0002151436,0.0001619562,0.0004242209,0.0001518401,0.0003009108,0.0008333065],"category_scores_gemma":[0.0001350678,0.00008668371,0.0001977065,0.0001625836,0.0001388793,0.0002392378,0.000273665,0.0003751492,0.0005339676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320388,"about_ca_system_score_gemma":0.0002897092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001764855,"about_ca_topic_score_gemma":0.0002331552,"domain_scores_codex":[0.9998823,0.0000319073,0.000008897849,0.00002078018,0.00003172827,0.00002429],"domain_scores_gemma":[0.9999592,0.000008448543,0.000009566509,0.000005482467,0.000008106595,0.000009144694],"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":[0.000103937,0.0000287965,0.00009314749,0.0001782514,0.000007164887,0.00004512733,0.00001446961,0.0002222076,0.9870884,0.001143986,0.0001630505,0.01091152],"study_design_scores_gemma":[0.00003274721,0.0002167066,0.000374303,0.00001940062,0.00002474852,0.0001634955,0.00001430986,0.001230949,0.978924,0.0002577456,0.01873609,0.000005442442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8436844,0.0793748,0.06336229,0.0009171718,0.0005285417,0.0003731819,0.0009632251,0.0003664472,0.01042999],"genre_scores_gemma":[0.9707423,0.01389957,0.01218714,0.0001118005,0.00006908675,0.00008408222,0.0003989452,0.00002983845,0.002477096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008333065,"threshold_uncertainty_score":0.00278765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605370734819933,"score_gpt":0.2709610976978634,"score_spread":0.2549073903496641,"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."}}