{"id":"W4310482580","doi":"10.1093/ofid/ofac645","title":"Meeting the Challenges of Sepsis in Severe Coronavirus Disease 2019: A Call to Arms","year":2022,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Allergan; American Medical Association Foundation; Shionogi; Sick Kids Foundation; Astellas Pharma; Amplyx; Gilead Sciences; Pfizer","keywords":"Medicine; Sepsis; Intensive care medicine; Disease; Organ dysfunction; Antibiotics; Antimicrobial; Coronavirus; Immunology; Internal medicine; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001819003,0.0001466359,0.0002605712,0.00007679465,0.0004240662,0.0000201876,0.0005446333,0.0000407101,0.0005614829],"category_scores_gemma":[0.00009377824,0.0001099444,0.0001026456,0.0001935037,0.0001080559,0.0000804744,0.0008621705,0.0001798313,0.00009157572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000691213,"about_ca_system_score_gemma":0.000128564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467818,"about_ca_topic_score_gemma":0.001414143,"domain_scores_codex":[0.9987748,0.0002853741,0.000243342,0.000302715,0.00006143891,0.0003323564],"domain_scores_gemma":[0.9992785,0.0001575658,0.0001195088,0.0003601002,0.00003049032,0.00005378245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002058089,0.00351473,0.9021083,0.0001678051,0.0005741837,0.00009640334,0.003029349,0.002917748,0.00263052,0.01833076,0.04304974,0.02152237],"study_design_scores_gemma":[0.004157287,0.0009742044,0.8666387,0.0003589831,0.000290821,0.00005613946,0.01131528,0.00001531498,0.0008403001,0.005175212,0.1093223,0.0008554844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419659,0.0359391,0.000008183371,0.006362504,0.0006860397,0.001353907,0.0007213659,0.0000644711,0.01289847],"genre_scores_gemma":[0.9970345,0.0003795654,0.000003403468,0.0009528664,0.000009409424,0.0001099917,0.00003857819,0.00001820029,0.001453418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06627253,"threshold_uncertainty_score":0.6147843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768620103932316,"score_gpt":0.279019180425473,"score_spread":0.2613329793861499,"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."}}