{"id":"W4416674354","doi":"10.1021/acsnano.5c12658","title":"Natural Macrophage Membrane-Coated Nanoparticles as a Multifaceted Sepsis Therapeutic to Sequester Inflammatory and Toxic Mediators","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden; Biomedical Advanced Research and Development Authority; Bundesministerium für Bildung und Forschung; Public Health Agency of Canada; Wellcome Trust; Wellcome; A.P. Giannini Foundation","keywords":"Sepsis; Macrophage; Inflammation; Immune system; Drug; Cytokine; Systemic administration; Host response","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002514763,0.0002135276,0.0002559455,0.0002542803,0.000210413,0.00004169527,0.0001848225,0.0002537493,0.0001614208],"category_scores_gemma":[0.0001696636,0.0001818369,0.00005476435,0.0003127918,0.0001300528,0.0001809032,0.0001276732,0.000208151,0.0008273412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005418404,"about_ca_system_score_gemma":0.00009593459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004829551,"about_ca_topic_score_gemma":0.00002034122,"domain_scores_codex":[0.9986528,0.0003027589,0.0003388521,0.0002897888,0.00004536754,0.0003704706],"domain_scores_gemma":[0.9993279,0.0001935108,0.0000715893,0.0002971132,0.00007985192,0.00003002418],"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":[0.0004818916,0.00002572192,0.0007069334,0.00002788157,0.0001900263,0.000008657429,0.001127522,0.000002017615,0.9892576,0.000367135,0.0003986263,0.007405966],"study_design_scores_gemma":[0.001347529,0.00008516818,0.007580772,0.00005879358,0.00005617771,0.0000212721,0.0002404544,0.000009189936,0.9672477,0.00005964713,0.02310145,0.0001918512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930699,0.004383303,0.000005795142,0.001022191,0.0006722142,0.0004078786,0.000004120653,0.000138794,0.0002958019],"genre_scores_gemma":[0.9908316,0.0001176924,0.00002113098,0.001524935,0.00001231778,0.00005109281,0.00003248033,0.00001685231,0.007391897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02270282,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005816537933959768,"score_gpt":0.2442766491593312,"score_spread":0.2384601112253714,"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."}}