{"id":"W1510628726","doi":"10.1089/dia.2013.0327","title":"The PILGRIM Study: In Silico Modeling of a Predictive Low Glucose Management System and Feasibility in Youth with Type 1 Diabetes During Exercise","year":2014,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk; Fresenius Kabi; Medtronic","keywords":"Medicine; Hypoglycemia; Diabetes mellitus; Glycated hemoglobin; Insulin pump; Type 1 diabetes; Insulin; Insulin delivery; Blood Glucose Self-Monitoring; Diabetes management; Artificial pancreas; Internal medicine; Type 2 diabetes; Anesthesia; Continuous glucose monitoring; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006739814,0.000585095,0.0003915406,0.0001843687,0.0001671334,0.0004038831,0.0006081388,0.0004555216,0.001201352],"category_scores_gemma":[0.00131444,0.0002318964,0.0005884068,0.0001070803,0.0001950499,0.0002002711,0.0003961435,0.0004564303,0.0001523702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000495475,"about_ca_system_score_gemma":0.0004513089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006535155,"about_ca_topic_score_gemma":0.005409516,"domain_scores_codex":[0.9998516,0.00007904988,0.00000578046,0.0000255721,0.00001147565,0.00002666358],"domain_scores_gemma":[0.9995614,0.0002763493,0.00004752978,0.00002896316,0.00002729715,0.00005850496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009086627,0.004942415,0.2409756,0.0003840391,0.0006488193,0.0009303777,0.000384588,0.7003588,0.006595793,0.001176421,0.001826885,0.03268956],"study_design_scores_gemma":[0.0004495714,0.004592825,0.03360046,0.0000293479,0.0001581054,0.0001541076,0.0001596949,0.957707,0.00214713,0.0004054001,0.000570421,0.00002591342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975674,0.00003815471,0.001696813,0.000049113,0.000007168756,0.00004808203,0.0001406232,0.00003963986,0.0004131577],"genre_scores_gemma":[0.99729,0.00004853505,0.001996128,0.00004216931,0.000005954887,0.00007198645,0.0003186136,0.000009436239,0.000217154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006535155,"threshold_uncertainty_score":0.01299423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923641852672158,"score_gpt":0.2641238428286967,"score_spread":0.2448874243019751,"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."}}