{"id":"W3000224923","doi":"10.1016/s0140-6736(19)33065-x","title":"A global accounting of sepsis","year":2020,"lang":"en","type":"letter","venue":"The Lancet","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; Agency for Healthcare Research and Quality","keywords":"Medicine; Global health; Death toll; Cause of death; Epidemiology; Public health; Incidence (geometry); Disease; Sepsis; Disease burden; Burden of disease; Scopus; MEDLINE; Environmental health; Family medicine; Population; Political science; Immunology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005243461,0.001969767,0.001319876,0.006474069,0.00182187,0.007829816,0.001362163,0.003573156,0.03782963],"category_scores_gemma":[0.01707184,0.0005267471,0.001338707,0.007951076,0.002788965,0.009350464,0.007363145,0.007958847,0.01144738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004514561,"about_ca_system_score_gemma":0.01038409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008722003,"about_ca_topic_score_gemma":0.007026635,"domain_scores_codex":[0.9946859,0.001333937,0.0005454716,0.0006787791,0.001928821,0.0008270188],"domain_scores_gemma":[0.9903889,0.001888311,0.00101889,0.000739658,0.003893301,0.002070917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007963445,0.00001482072,0.001861415,0.001317496,0.00006900218,0.000229909,0.0003270737,0.000269569,0.000168723,0.0466827,0.8103291,0.1386506],"study_design_scores_gemma":[0.000009624455,0.00003347952,0.002366496,0.001734506,0.00002497832,0.000375961,0.0003050252,0.0001309943,0.00008308973,0.00979811,0.9851074,0.00003042932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.002433904,0.4653708,0.003622871,0.3809209,0.06625748,0.00006926501,0.008391809,0.0007386514,0.07219436],"genre_scores_gemma":[0.0622163,0.7305804,0.005051151,0.08596703,0.07168883,0.0002037915,0.00956469,0.0008814527,0.03384634],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03782963,"threshold_uncertainty_score":0.1265528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113698017808505,"score_gpt":0.3487261557059886,"score_spread":0.2350281378974836,"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."}}