{"id":"W2520349907","doi":"10.1109/mcs.2016.2584318","title":"The Artificial Pancreas: How Closed-Loop Control Is Revolutionizing Diabetes","year":2016,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"Diabetes Management and Research","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Institut de Recherche Clinique De Montréal; University of Cambridge; National Institutes of Health; Canadian Diabetes Association; Eli Lilly and Company","keywords":"Artificial pancreas; Controller (irrigation); Computer science; Control engineering; Type 1 diabetes; Control system; Diabetes mellitus; Artificial intelligence; Simulation; Medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002585836,0.0005921304,0.0006397174,0.0006436629,0.0003569711,0.003849071,0.0009377166,0.002365409,0.004392741],"category_scores_gemma":[0.005915795,0.000259268,0.0006396707,0.0004938386,0.0026426,0.004304733,0.001607855,0.00316984,0.001621098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008148044,"about_ca_system_score_gemma":0.001121179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102174,"about_ca_topic_score_gemma":0.0005173888,"domain_scores_codex":[0.9988084,0.0004530211,0.0000567447,0.0001539859,0.0004350338,0.00009277264],"domain_scores_gemma":[0.9979531,0.001166168,0.00009903964,0.0002043963,0.0003904819,0.0001867525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004586178,0.00015967,0.0009181612,0.0008603781,0.0001170656,0.0002212186,0.0003157206,0.02097324,0.005396616,0.3709193,0.03002396,0.569636],"study_design_scores_gemma":[0.0001490131,0.000532492,0.0006748968,0.001040209,0.00009122923,0.0004619169,0.0002348377,0.04710576,0.004766957,0.4665135,0.4783147,0.0001146225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01597935,0.2839553,0.4963032,0.1118864,0.0127811,0.00007972397,0.0002096381,0.001790521,0.07701474],"genre_scores_gemma":[0.4700176,0.2878136,0.177336,0.01974625,0.01127724,0.0001951332,0.0003306131,0.0005379488,0.03274574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004392741,"threshold_uncertainty_score":0.01469517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210321691849375,"score_gpt":0.2508629522966312,"score_spread":0.2298307831116937,"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."}}