{"id":"W1530631310","doi":"10.2310/8000.2011.110610","title":"Canadian Association of Emergency Physicians sepsis treatment checklist: optimizing sepsis care in Canadian emergency departments","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Capital District Health Authority","funders":"","keywords":"Checklist; Emergency department; Medicine; Sepsis; Surviving Sepsis Campaign; Delphi method; Triage; Septic shock; Family medicine; Emergency nursing; Emergency medicine; Medical emergency; Nursing; Severe sepsis; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008666743,0.001046236,0.000985665,0.003755592,0.008134321,0.00295238,0.003458832,0.001813466,0.004986907],"category_scores_gemma":[0.04240654,0.0007788797,0.001030609,0.004950649,0.0007393643,0.001512188,0.00369848,0.004223288,0.0006056634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05966363,"about_ca_system_score_gemma":0.2968889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.952309,"about_ca_topic_score_gemma":0.9788857,"domain_scores_codex":[0.9923442,0.001553749,0.001160509,0.0003178849,0.003357109,0.001266557],"domain_scores_gemma":[0.9475356,0.001947253,0.003671377,0.0003803236,0.03496112,0.01150423],"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":[0.0001647551,0.0003153753,0.07973406,0.0008419958,0.0001441814,0.0003095268,0.001106442,0.001521329,0.0001669267,0.001709424,0.7964795,0.1175064],"study_design_scores_gemma":[0.0004602129,0.0002613392,0.70987,0.003837734,0.0003754496,0.0004571847,0.004960502,0.003405847,0.0004474279,0.001867993,0.2737041,0.000352155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1342197,0.02931648,0.01106985,0.6730077,0.01356101,0.00659941,0.02017849,0.001722236,0.1103252],"genre_scores_gemma":[0.7220874,0.03889875,0.131784,0.06001235,0.003962046,0.004676193,0.01725777,0.0004567753,0.02086467],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05966363,"threshold_uncertainty_score":0.432892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08223900430470722,"score_gpt":0.3612829566285646,"score_spread":0.2790439523238574,"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."}}