{"id":"W128001744","doi":"10.1177/0310057x1003800413","title":"Glycaemic Fluctuation Predicts Mortality in Critically Ill Patients","year":2010,"lang":"en","type":"article","venue":"Anaesthesia and Intensive Care","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University Health Network; Eli Lilly and Company","keywords":"Medicine; Odds ratio; Confidence interval; Intensive care unit; Internal medicine; Diabetes mellitus; Intensive care; Cohort study; Intensive care medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001327877,0.0002592682,0.0005015061,0.0002835153,0.0002621871,0.0005592771,0.0002587432,0.0004741437,0.0006481388],"category_scores_gemma":[0.005173009,0.0002319302,0.0006872834,0.0004065101,0.000212906,0.0003783121,0.000458288,0.0009522071,0.00008893426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019715,"about_ca_system_score_gemma":0.0002482796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415161,"about_ca_topic_score_gemma":0.001139134,"domain_scores_codex":[0.9994082,0.0002475957,0.00007005716,0.00009817962,0.0001000094,0.00007603023],"domain_scores_gemma":[0.9970656,0.0007435359,0.001105971,0.000290842,0.0001771087,0.0006168875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001248428,0.00005247789,0.9968002,0.000008349949,0.0001130628,0.00004294934,0.00002174913,0.0001203086,0.0002244182,0.0000144016,0.00006614074,0.001287553],"study_design_scores_gemma":[0.00005082831,0.0004461657,0.9976151,0.000009374321,0.0000624669,0.0001133699,0.00003862704,0.001415829,0.00007497873,0.0001090144,0.00005719344,0.000007088759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993271,0.0003566945,0.00007864112,0.00005681674,0.000008169466,0.000004103273,0.00004674241,0.000002011378,0.0001197406],"genre_scores_gemma":[0.9997706,0.00005717327,0.00004088835,0.00002215966,0.00001137928,0.0000023006,0.00007743588,7.550139e-7,0.00001741454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415161,"threshold_uncertainty_score":0.00702256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158368397205851,"score_gpt":0.2753565709482068,"score_spread":0.2637728869761483,"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."}}