{"id":"W3212053684","doi":"10.1111/imm.13427","title":"NLRP3 knockout enhances immune infiltration and inflammatory responses and improves survival in a burn sepsis model","year":2021,"lang":"en","type":"article","venue":"Immunology","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Sunnybrook Hospital","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Canada Foundation for Innovation; Foundation for the National Institutes of Health","keywords":"Sepsis; Inflammation; Medicine; Infiltration (HVAC); Inflammasome; Burn injury; Immune system; Immunology; Pathophysiology; Tumor necrosis factor alpha; Internal medicine; Surgery","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":[0.0002059903,0.0005077065,0.0004571969,0.0003821376,0.0002165513,0.000297286,0.0002338893,0.0004049143,0.002437797],"category_scores_gemma":[0.0001180754,0.0001930506,0.0003754459,0.0001913344,0.0003612904,0.000296251,0.0002864146,0.001066038,0.0004641971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007567,"about_ca_system_score_gemma":0.0002156951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003220399,"about_ca_topic_score_gemma":0.0004192067,"domain_scores_codex":[0.9997769,0.00003305817,0.00002935626,0.00004056851,0.00005743425,0.00006267861],"domain_scores_gemma":[0.9997596,0.00001257439,0.00007904465,0.00002371993,0.00002204485,0.0001030064],"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":[0.001550097,0.0002796574,0.0002819271,0.00005931981,0.00001002467,0.00006735078,0.00001839829,0.00006887594,0.9961362,0.00004776811,0.00009445087,0.001385866],"study_design_scores_gemma":[0.0002252942,0.006933002,0.01499738,0.00005665157,0.0000653321,0.0009832566,0.0001827187,0.001857134,0.9720865,0.0001693006,0.002421515,0.00002189205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955801,0.0008577264,0.001976078,0.0001594829,0.00006213815,0.00005304738,0.0005419602,0.0001350279,0.0006342677],"genre_scores_gemma":[0.9927704,0.0007544927,0.002344147,0.0001570384,0.00001731059,0.0001137667,0.0007076666,0.00004038321,0.003094727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002437797,"threshold_uncertainty_score":0.008155227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691789360099452,"score_gpt":0.2821564995871502,"score_spread":0.2652386059861557,"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."}}