{"id":"W4291162713","doi":"10.1097/shk.0000000000001965","title":"EVALUATING SEPSIS CRITERIA IN DETECTING ALTERATIONS IN CLINICAL, METABOLIC, AND INFLAMMATORY PARAMETERS IN BURN PATIENTS","year":2022,"lang":"en","type":"article","venue":"Shock","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Hamilton Health Sciences; Sunnybrook Hospital; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Institute of General Medical Sciences; National Institute on Aging","keywords":"Sepsis; Medicine; Intensive care medicine; Burn injury; Septic shock; Burn center; Organ dysfunction; Systemic inflammatory response syndrome; Internal medicine; Emergency medicine; Surgery; Poison control","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":[0.00246515,0.0003402053,0.0003855393,0.00143904,0.0004287558,0.001003617,0.0003074466,0.0004494536,0.0009774682],"category_scores_gemma":[0.005268478,0.0001646289,0.0004064476,0.001058683,0.0002299312,0.000827054,0.000790306,0.0005432208,0.0002662328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581879,"about_ca_system_score_gemma":0.0006356679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009931286,"about_ca_topic_score_gemma":0.001978244,"domain_scores_codex":[0.9987332,0.0005924212,0.0002297396,0.0001049,0.0001916625,0.0001480176],"domain_scores_gemma":[0.9974807,0.0005544815,0.0009556531,0.00008784343,0.0004914915,0.0004298676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003136534,0.00004771621,0.9978593,0.00001220496,0.00001989891,0.00003608509,0.00002516581,0.00007795116,0.0002697076,0.00001414661,0.00005191593,0.001272341],"study_design_scores_gemma":[0.00002069121,0.000502008,0.9958728,0.00003483209,0.00005034209,0.0003618717,0.0003539759,0.001774482,0.0007497026,0.00006712211,0.0002020015,0.00001008666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986477,0.0003382446,0.0003434606,0.00005410149,0.00001578629,0.00003841341,0.0001902757,0.000003815068,0.0003682186],"genre_scores_gemma":[0.999132,0.00006467098,0.0005275995,0.00002060209,0.00001000791,0.0000234849,0.0001687648,0.000001377687,0.00005144419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00246515,"threshold_uncertainty_score":0.01303709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0749483364132222,"score_gpt":0.4029388319637885,"score_spread":0.3279904955505664,"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."}}