{"id":"W3006920821","doi":"10.23919/cinc49843.2019.9005923","title":"Development of an Early Warning System for Sepsis","year":2019,"lang":"en","type":"article","venue":"Computing in Cardiology","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Undersampling; Sepsis; Random forest; Medicine; Ranking (information retrieval); Statistics; Computer science; Emergency medicine; Internal medicine; Artificial intelligence; Intensive care medicine; Mathematics","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":[0.001775442,0.0006561511,0.0007467242,0.001066927,0.0003845079,0.0009094262,0.0006866322,0.0009111684,0.001381559],"category_scores_gemma":[0.005800915,0.000268371,0.0004602054,0.0003407372,0.0001229424,0.001036211,0.0008836022,0.001357534,0.001069324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000552047,"about_ca_system_score_gemma":0.001175672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004147908,"about_ca_topic_score_gemma":0.003719632,"domain_scores_codex":[0.9993617,0.0001739916,0.00006170148,0.0001324209,0.0001818195,0.00008842182],"domain_scores_gemma":[0.9976688,0.0007220518,0.0001295826,0.0001067689,0.001228164,0.0001445397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001860742,0.001084643,0.04973206,0.0003382217,0.0003280687,0.0006961195,0.0002094881,0.1043228,0.02669693,0.00306026,0.05939747,0.7522733],"study_design_scores_gemma":[0.00007709457,0.0004589679,0.006067726,0.00006024631,0.0001115768,0.0001690568,0.00004988715,0.9754605,0.01072314,0.001318203,0.005459925,0.00004370866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3170499,0.002747083,0.6296927,0.008011498,0.002321911,0.001016442,0.004525659,0.02708207,0.007552684],"genre_scores_gemma":[0.8196572,0.0006382397,0.16989,0.001444982,0.0004163002,0.0003233445,0.003718072,0.0001053201,0.003806561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004147908,"threshold_uncertainty_score":0.009389579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0709238958552701,"score_gpt":0.3418817390065755,"score_spread":0.2709578431513054,"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."}}