{"id":"W2747918114","doi":"10.1089/dia.2017.0204","title":"Stability of Commercially Available Glucagon Formulation for Dual-Hormone Artificial Pancreas Clinical Use","year":2017,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Québec; Diabetes Canada; Université de Montréal; Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Novo Nordisk; Eli Lilly and Company","keywords":"Medicine; Artificial pancreas; Glucagon; Diabetes mellitus; Pancreas; Dual (grammatical number); Hormone; Intensive care medicine; Internal medicine; Endocrinology; Type 1 diabetes","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008332775,0.000221191,0.000775746,0.0001635821,0.0003214902,0.00004337012,0.0002151784,0.0005796672,0.00005375375],"category_scores_gemma":[0.001242476,0.0001976032,0.0002349537,0.0001367572,0.0005668568,0.0001959793,0.00009391525,0.0002986051,0.00002917976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005019383,"about_ca_system_score_gemma":0.0001420908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002104869,"about_ca_topic_score_gemma":0.00001666861,"domain_scores_codex":[0.9981775,0.00005167655,0.0007699236,0.000378424,0.0001887944,0.0004336852],"domain_scores_gemma":[0.9969552,0.0006145284,0.0005164976,0.001351776,0.0004697997,0.00009225286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004143369,0.0004959851,0.8347084,0.00006166213,0.0003836929,7.522464e-7,0.00002532896,1.752625e-7,0.1370777,0.003701151,0.000345147,0.02278567],"study_design_scores_gemma":[0.00404057,0.002539268,0.4322821,0.00009596731,0.001297857,0.000001448855,0.0001004452,0.002662383,0.5239694,0.007870066,0.02478979,0.0003507595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950735,0.0004774775,0.0003208353,0.002272722,0.0003146495,0.0008516095,0.00006304545,0.0002111626,0.0004150179],"genre_scores_gemma":[0.9944593,0.0001758922,0.004091773,0.0008377393,0.0001360488,0.00007302205,0.00005689909,0.00003641518,0.0001328796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4024263,"threshold_uncertainty_score":0.8058023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460163232464734,"score_gpt":0.3625763925129487,"score_spread":0.2165600692664753,"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."}}