{"id":"W3085578913","doi":"10.2337/dc19-2267","title":"Dual-Hormone Closed-Loop System Using a Liquid Stable Glucagon Formulation Versus Insulin-Only Closed-Loop System Compared With a Predictive Low Glucose Suspend System: An Open-Label, Outpatient, Single-Center, Crossover, Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Steno Diabetes Center Copenhagen; Juvenile Diabetes Research Foundation United Kingdom","keywords":"Medicine; Artificial pancreas; Glucagon; Crossover study; Hypoglycemia; Interquartile range; Insulin; Endocrinology; Hormone; Internal medicine; Diabetes mellitus; Closed loop; Type 2 diabetes; Type 1 diabetes","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":[0.001686957,0.001012942,0.00477856,0.0004798572,0.0006725069,0.001002866,0.000729841,0.0004151661,0.00002064922],"category_scores_gemma":[0.0006101555,0.0007741242,0.0004394815,0.001070453,0.0002556292,0.001232138,0.0006285688,0.0006464456,0.00006230827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042903,"about_ca_system_score_gemma":0.0006425499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020538,"about_ca_topic_score_gemma":0.00003273083,"domain_scores_codex":[0.9913523,0.001595558,0.002088156,0.001444253,0.001994378,0.001525366],"domain_scores_gemma":[0.9941796,0.0008184051,0.001354758,0.001023757,0.001681567,0.0009418811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9776438,0.001913933,0.0009697167,0.007271122,0.002996181,0.0001662174,0.002101205,0.0004536675,0.005665103,0.0003368163,0.0001634427,0.0003188034],"study_design_scores_gemma":[0.7911366,0.02004937,0.00003111712,0.003305199,0.002638091,0.000003858167,0.01242528,0.1676842,0.001979684,4.590015e-7,0.00009319263,0.0006529472],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567018,0.002526468,0.0001558101,0.00005480575,0.001531637,0.03351138,0.0005561791,0.0007396619,0.004222241],"genre_scores_gemma":[0.9946519,0.00001702724,0.0002653361,0.00008528753,0.000876355,0.001638526,0.00207824,0.0002265676,0.0001607795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865072,"threshold_uncertainty_score":0.9994709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04831284612686508,"score_gpt":0.2961604056341818,"score_spread":0.2478475595073167,"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."}}