{"id":"W4388862030","doi":"10.1515/jpem-2023-0289","title":"The use of CGM to identify hypoglycemia and glycemic patterns in congenital hyperinsulinism","year":2023,"lang":"en","type":"article","venue":"Journal of Pediatric Endocrinology and Metabolism","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Dexcom","keywords":"Medicine; Hyperinsulinism; Hypoglycemia; Congenital hyperinsulinism; Continuous glucose monitoring; Glycemic; Hyperinsulinemic hypoglycemia; Pediatrics; Intensive care medicine; Internal medicine; Insulin; Insulin resistance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209689,0.000287235,0.0002606502,0.0009273765,0.0001580673,0.0003963271,0.0002589115,0.0003008913,0.0006985835],"category_scores_gemma":[0.00500983,0.0001838787,0.0002685005,0.0008106673,0.0001881844,0.0003595198,0.0002776667,0.000400503,0.0001102855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883628,"about_ca_system_score_gemma":0.0002577623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826271,"about_ca_topic_score_gemma":0.001573471,"domain_scores_codex":[0.9990089,0.0005181289,0.0001339959,0.000114595,0.000173105,0.00005124572],"domain_scores_gemma":[0.9974064,0.0008995214,0.001132179,0.0001032367,0.0002775714,0.0001811515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003867853,0.00008761858,0.9922922,0.00002480486,0.00002418201,0.00006772382,0.00006324848,0.00006370309,0.000530343,0.000007418606,0.00005875245,0.006393105],"study_design_scores_gemma":[0.00001972681,0.0006666271,0.9976866,0.00001275254,0.00001850293,0.0004895434,0.00009086412,0.0004322558,0.0004646029,0.00001381593,0.0001010508,0.00000358879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982269,0.0004122485,0.0004608338,0.00003052618,0.000006044936,0.0000400302,0.0002235686,0.00001241098,0.0005873637],"genre_scores_gemma":[0.998176,0.0001752057,0.001361851,0.00002801797,0.000007561212,0.00004155804,0.0001234381,0.000002604134,0.00008372984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001826271,"threshold_uncertainty_score":0.006397545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421029348532018,"score_gpt":0.3228389990663399,"score_spread":0.2807360642131381,"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."}}