{"id":"W4393110861","doi":"10.1002/advs.202308719","title":"Neutrophil Targeting Platform Reduces Neutrophil Extracellular Traps for Improved Traumatic Brain Injury and Stroke Theranostics","year":2024,"lang":"en","type":"article","venue":"Advanced Science","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Natural Science Foundation of Hainan Province; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; National University of Singapore","keywords":"Neutrophil extracellular traps; Traumatic brain injury; Medicine; Stroke (engine); Extracellular; Inflammation; Immunology; Chemistry; Aerospace engineering; Engineering; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001285074,0.0003818199,0.0002586409,0.0002138984,0.0001028575,0.0002231573,0.0002030748,0.0003141164,0.001110833],"category_scores_gemma":[0.0001018103,0.0001078869,0.0002445119,0.00008674564,0.0001258826,0.0003111123,0.000223969,0.0004657229,0.0001992878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755238,"about_ca_system_score_gemma":0.0002395443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002515923,"about_ca_topic_score_gemma":0.000472062,"domain_scores_codex":[0.9999249,0.00001444135,0.000005113644,0.00001225558,0.00002006811,0.00002324286],"domain_scores_gemma":[0.9999723,0.000002580168,0.00001075949,0.000001688086,0.000006022971,0.000006556035],"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":[0.0002550737,0.0001680297,0.0001059605,0.0003077333,0.00001898963,0.00009469046,0.00001748902,0.0004385631,0.9814444,0.0006513374,0.0005338941,0.01596402],"study_design_scores_gemma":[0.0001144061,0.001880285,0.0009813333,0.00003398395,0.00005478628,0.0003113955,0.00002554689,0.003266267,0.9814565,0.0002666295,0.01159033,0.00001850892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363652,0.02934829,0.027019,0.0009569669,0.0004023903,0.0002985335,0.0004160527,0.0003265574,0.004867003],"genre_scores_gemma":[0.9774224,0.009624356,0.00828579,0.0002836341,0.00004787453,0.0001358612,0.0002352791,0.00001456468,0.003950357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001110833,"threshold_uncertainty_score":0.003716052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929563544222156,"score_gpt":0.2813652631631324,"score_spread":0.2620696277209108,"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."}}