{"id":"W2213562886","doi":"10.1089/dia.2013.0287","title":"Target Attainment Through Algorithm Design During Intravenous Insulin Infusion","year":2013,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Medicine; Glycemic; Diabetic ketoacidosis; Insulin; Inflection point; Algorithm; Diabetes mellitus; Multiplicative function; Anesthesia; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009360407,0.0003101359,0.0005170146,0.0001898607,0.0002005799,0.00003008782,0.0002298599,0.0005233746,0.0003122012],"category_scores_gemma":[0.0000353618,0.0002595439,0.0001118295,0.0003640563,0.0003230053,0.0001154666,0.0001213353,0.0005229575,0.0002365351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145925,"about_ca_system_score_gemma":0.00006017831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009651969,"about_ca_topic_score_gemma":1.973656e-7,"domain_scores_codex":[0.9981101,0.0000442672,0.0004420941,0.0004022895,0.0002695262,0.0007317807],"domain_scores_gemma":[0.9989759,0.00008139664,0.00008518417,0.0005166579,0.0002279552,0.0001129622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002379916,0.00202456,0.07440732,0.0001950172,0.001358634,0.0001105407,0.001391236,0.00002504205,0.2881497,0.001102298,0.0003054875,0.6306921],"study_design_scores_gemma":[0.02809994,0.01289179,0.03665689,0.0009260283,0.00193907,0.0002040405,0.002310886,0.0259954,0.7044126,0.1109741,0.07278605,0.002803207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822403,0.002526596,0.007048102,0.005932104,0.0002328813,0.00110325,0.000009466977,0.0004588252,0.0004485375],"genre_scores_gemma":[0.9514511,0.0006768007,0.04370098,0.003534193,0.0001001158,0.0002652983,0.00002796277,0.00005341443,0.0001901734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6278889,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445691397315458,"score_gpt":0.2521083230645685,"score_spread":0.237651409091414,"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."}}