{"id":"W3089562152","doi":"10.5858/arpa.2020-0101-ra","title":"Estimated Risk for Insulin Dose Error Among Hospital Patients Due to Glucose Meter Hematocrit Bias in 2020","year":2020,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Saskatchewan Health Authority; Saskatchewan Health; University of Saskatchewan","funders":"","keywords":"Hematocrit; Medicine; Glucose meter; Insulin; Glycemic; Linear regression; Emergency medicine; Diabetes mellitus; Statistics; Internal medicine; Mathematics; Endocrinology","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":[0.01165759,0.0003791195,0.0004294076,0.0007617805,0.0002270509,0.0008391897,0.0008503242,0.0006171286,0.001833832],"category_scores_gemma":[0.03963494,0.00036449,0.001708428,0.00067689,0.0002859754,0.0004900923,0.0008086135,0.00107928,0.0003404451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042627,"about_ca_system_score_gemma":0.0007279918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009188058,"about_ca_topic_score_gemma":0.003860727,"domain_scores_codex":[0.993754,0.003600065,0.0005086619,0.0009859483,0.0007502696,0.0004010846],"domain_scores_gemma":[0.9531962,0.02949891,0.01089376,0.003436772,0.001925611,0.001048741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003702871,0.00002444401,0.9942782,0.000009991957,0.0002886438,0.00002179341,0.00002526178,0.001513282,0.00005156161,0.0001230056,0.0001971754,0.003096299],"study_design_scores_gemma":[0.00004910484,0.0006356128,0.9539354,0.00002651798,0.0004620542,0.0002490926,0.00008777593,0.04295118,0.0006656786,0.000419999,0.0004944995,0.00002301559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904011,0.0004715071,0.006450645,0.0003996829,0.00002847397,0.00004647537,0.001429802,0.00008476665,0.0006874712],"genre_scores_gemma":[0.9973002,0.00005189778,0.001382596,0.00007061699,0.00001386364,0.00002795078,0.000879781,0.00001064055,0.0002623274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165759,"threshold_uncertainty_score":0.06165195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633176560831151,"score_gpt":0.3010690433710655,"score_spread":0.274737277762754,"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."}}