{"id":"W3212240004","doi":"10.12788/fp.0194","title":"Improving Unadjusted and Adjusted Mortality With an Early Warning Sepsis System in the Emergency Department and Inpatient Wards","year":2021,"lang":"en","type":"article","venue":"Federal Practitioner","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health informatics; Veterans Affairs; Emergency department; Emergency medicine; Warning system; Health care; Medical emergency; Quarter (Canadian coin); Sepsis; Acute care; Informatics; Public health; Nursing; Internal medicine","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":[0.003477765,0.0003255466,0.0002478359,0.0009874466,0.0004718915,0.0009945546,0.0005705397,0.000267929,0.002116122],"category_scores_gemma":[0.01571476,0.0001509377,0.0005708797,0.0006516392,0.0001758478,0.0007211273,0.001722308,0.0007743572,0.0002979076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442387,"about_ca_system_score_gemma":0.007121904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01722491,"about_ca_topic_score_gemma":0.02755104,"domain_scores_codex":[0.9977673,0.0007463575,0.0002513702,0.0001831241,0.0005941499,0.0004577511],"domain_scores_gemma":[0.9941875,0.0008910061,0.001553513,0.0001983595,0.001710221,0.001459398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006281178,0.001754418,0.6566283,0.0003990093,0.0002389189,0.0001648213,0.001075181,0.003267537,0.001768959,0.0007245412,0.0194955,0.3138546],"study_design_scores_gemma":[0.0001743744,0.00273356,0.9766961,0.000432127,0.0001560761,0.000136696,0.001452162,0.004737121,0.002002702,0.0004899062,0.0109425,0.00004669317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734701,0.0006900358,0.004574092,0.009433782,0.0002152228,0.0003394506,0.002035241,0.0007155588,0.008526475],"genre_scores_gemma":[0.9873556,0.0004672955,0.008261056,0.001088646,0.0001210958,0.0001498661,0.001555316,0.00002560344,0.000975562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01722491,"threshold_uncertainty_score":0.03424931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06042517180037546,"score_gpt":0.3197302057075482,"score_spread":0.2593050339071727,"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."}}