{"id":"W2968497381","doi":"10.1177/1932296819869310","title":"Artificial Pancreas Systems and Physical Activity in Patients with Type 1 Diabetes: Challenges, Adopted Approaches, and Future Perspectives","year":2019,"lang":"en","type":"review","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Cegep Edouard Montpetit; Université de Montréal; Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; Diabetes Canada","keywords":"Artificial pancreas; Hypoglycemia; Glycemic; Context (archaeology); Insulin delivery; Type 1 diabetes; Medicine; Continuous glucose monitoring; SAFER; Intensive care medicine; Physical activity; Risk analysis (engineering); Diabetes mellitus; Computer science; Physical therapy; Endocrinology; Biology","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":[0.000873709,0.0002756767,0.001547196,0.001465164,0.00008147447,0.00007990592,0.0002309605,0.0002695512,0.000001033926],"category_scores_gemma":[0.00018056,0.0001638961,0.00004919976,0.001356366,0.001160743,0.000282373,0.0002130572,0.0008428296,0.000001252412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114142,"about_ca_system_score_gemma":0.0003165581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.513301e-7,"about_ca_topic_score_gemma":5.000735e-7,"domain_scores_codex":[0.9981587,0.00006985346,0.0002676006,0.0004598654,0.0005741232,0.000469849],"domain_scores_gemma":[0.9987652,0.00009601009,0.0003713348,0.0002490783,0.0003765275,0.0001418448],"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":[0.00002015789,0.0003679487,0.01775826,0.005867423,0.0001608177,0.000004830975,0.00008796276,5.326402e-8,0.000007372399,0.0005286383,0.00000880749,0.9751877],"study_design_scores_gemma":[0.01130663,0.04535295,0.2955412,0.08190598,0.009253778,0.00007340982,0.0143802,0.002063883,0.00009332188,0.00109926,0.5349212,0.004008214],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.430248,0.5688912,5.842798e-8,0.0002502537,0.00007160109,0.0004522024,0.000002106872,0.000008713494,0.00007589209],"genre_scores_gemma":[0.2396887,0.7600279,0.00003424507,0.000003747435,0.0001949179,0.00001201233,0.00000177035,0.0000194068,0.00001725489],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9711795,"threshold_uncertainty_score":0.6683489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06004513473915334,"score_gpt":0.3034085291829933,"score_spread":0.24336339444384,"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."}}