{"id":"W2080500932","doi":"10.1089/dia.2009.0031","title":"Can We Really Close the Loop and How Soon? Accelerating the Availability of an Artificial Pancreas: A Roadmap to Better Diabetes Outcomes","year":2009,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juvenile Diabetes Research Foundation","funders":"","keywords":"Artificial pancreas; Glycemic; Medicine; Insulin delivery; Closed loop; Commercialization; Diabetes mellitus; Diabetes management; Continuous glucose monitoring; Insulin pump; Blood Glucose Self-Monitoring; Intensive care medicine; Risk analysis (engineering); Type 1 diabetes; Type 2 diabetes; Engineering; Control engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.001100382,0.000329182,0.0006034981,0.0003098226,0.0003131801,0.0001271998,0.0006671897,0.0002755653,0.0000202457],"category_scores_gemma":[0.0001895172,0.0001809326,0.0001212102,0.0007533177,0.0007990639,0.0001041988,0.0002411222,0.0006424339,0.000007396045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004083867,"about_ca_system_score_gemma":0.00005618873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000447481,"about_ca_topic_score_gemma":0.00003916247,"domain_scores_codex":[0.9976948,0.0001820567,0.0003803073,0.000501109,0.0004287871,0.0008129551],"domain_scores_gemma":[0.997927,0.0003222536,0.000161183,0.001265832,0.0002100128,0.0001137374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000286724,0.0002791817,0.4300214,0.00005183928,0.0003889368,0.000002628439,0.0003837309,8.923383e-7,0.06697088,0.001283887,0.0001421319,0.5004458],"study_design_scores_gemma":[0.00200797,0.005157071,0.6755204,0.0002824287,0.001448039,0.000002013021,0.003042453,0.00303746,0.2267921,0.06853247,0.01325087,0.0009266903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7550321,0.0006507904,0.000003408217,0.2430134,0.00005539545,0.0009328417,0.00001112019,0.0001510826,0.0001499417],"genre_scores_gemma":[0.9883413,0.00007019677,0.0006367088,0.01041993,0.0001008495,0.00008570081,0.00001184427,0.00003449255,0.0002990008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4995191,"threshold_uncertainty_score":0.7378216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265919922549365,"score_gpt":0.3002171560550619,"score_spread":0.2675579568295683,"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."}}