{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080647,0.0006236397,0.001556474,0.001618861,0.0002568399,0.001491445,0.0007549386,0.001401509,0.003549329],"category_scores_gemma":[0.001346641,0.0002289468,0.0009597373,0.001472479,0.0004437456,0.001416759,0.0006994635,0.001823305,0.001021535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000456325,"about_ca_system_score_gemma":0.00119321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009256229,"about_ca_topic_score_gemma":0.001620156,"domain_scores_codex":[0.9996425,0.00008706057,0.00006892958,0.0000528174,0.0001181456,0.00003064825],"domain_scores_gemma":[0.9992624,0.0004636861,0.0000833369,0.0000144947,0.0001455814,0.00003047769],"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":[0.0001002251,0.00009339918,0.0002532244,0.03946484,0.0001665346,0.0001742683,0.00008938641,0.0003181493,0.0007673855,0.004789662,0.01234975,0.9414331],"study_design_scores_gemma":[0.00003475587,0.0002779374,0.001511302,0.02050233,0.0003612656,0.001718698,0.0002065688,0.0002391881,0.0004763101,0.004044282,0.9705888,0.00003859821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008140257,0.9990008,0.00006691844,0.0003417527,0.0001272655,0.0000027766,0.000006650696,0.000002515819,0.0003698537],"genre_scores_gemma":[0.0004839905,0.9989877,0.0001120671,0.0001471106,0.0001087753,0.000004267929,0.000008296629,5.82787e-7,0.0001471164],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003549329,"threshold_uncertainty_score":0.01187372,"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."}}