{"id":"W2295634666","doi":"10.1097/ccm.0000000000001650","title":"Admission Hyperglycemia in Critically Ill Sepsis Patients: Association With Outcome and Host Response*","year":2016,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Center for Translational Molecular Medicine","keywords":"Medicine; Sepsis; Hazard ratio; Diabetes mellitus; Internal medicine; Hypoglycemia; Prospective cohort study; Intensive care medicine; Endocrinology; Confidence interval","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":[0.0009088945,0.0003548979,0.0004538831,0.0004474056,0.0003809985,0.0007246255,0.0002836707,0.0005210469,0.0009088853],"category_scores_gemma":[0.003317223,0.0002406871,0.0004807486,0.001075089,0.0003041817,0.0004147411,0.0005590527,0.001082983,0.00008758799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003407752,"about_ca_system_score_gemma":0.0003799977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002238233,"about_ca_topic_score_gemma":0.00294961,"domain_scores_codex":[0.9993881,0.0002041483,0.000083758,0.0001188846,0.00009465209,0.0001105625],"domain_scores_gemma":[0.9963313,0.0006989848,0.002117657,0.0001953514,0.0002054251,0.0004512197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002155318,0.00001971029,0.9990581,0.000007881359,0.00004013998,0.00002697921,0.00001251541,0.00002164235,0.00007553556,0.000005456422,0.00002732986,0.0004892276],"study_design_scores_gemma":[0.00001027602,0.0001418919,0.9992771,0.000009938904,0.00003680962,0.0001353337,0.00007987303,0.00019481,0.0000505819,0.00002445239,0.00003527685,0.000003698511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992982,0.0003462666,0.00004973763,0.00004816935,0.000007488919,0.0000035446,0.0001398275,0.000001337465,0.0001054139],"genre_scores_gemma":[0.9995106,0.0001404553,0.00004835576,0.00002312277,0.00001723767,0.000004161986,0.0002307851,7.718515e-7,0.00002439475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002238233,"threshold_uncertainty_score":0.004806757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409539544230953,"score_gpt":0.3080795426477294,"score_spread":0.2939841472054199,"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."}}