{"id":"W3197321040","doi":"","title":"USE OF CONTINUOUS GLUCOSE MONITORING (CGM) TRENDS TO PREVENT HYPOGLYCAEMIA DURING EXERCISE IN YOUNG CHILDREN WITH TYPE 1 DIABETES","year":2018,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Diabetes Management and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Medicine; Continuous glucose monitoring; Type 1 diabetes; Diabetes mellitus; Type 2 diabetes; Hypoglycemia; Intensive care medicine; Internal medicine; Pediatrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007684032,0.0002406225,0.0003594788,0.001110439,0.0003545595,0.000655753,0.0005104761,0.0005975278,0.0007914116],"category_scores_gemma":[0.005298564,0.000276508,0.0005801105,0.001409046,0.0001450894,0.0006340109,0.0004069005,0.0009527489,0.0001117324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008712843,"about_ca_system_score_gemma":0.0008549169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05325073,"about_ca_topic_score_gemma":0.07949711,"domain_scores_codex":[0.9994111,0.0001024339,0.0001112005,0.00008851529,0.0001522696,0.0001345639],"domain_scores_gemma":[0.9968622,0.0006880361,0.001592465,0.00006057655,0.0003101849,0.000486566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003594284,0.00003270982,0.9974416,0.00002294426,0.00002332237,0.00002731809,0.0001001596,0.00003702954,0.00002757463,0.000007514603,0.0001488884,0.002095026],"study_design_scores_gemma":[0.000001813488,0.00004022562,0.9994171,0.000026368,0.00001619637,0.00004850179,0.000233916,0.00009758372,0.00002197767,0.000004015787,0.0000905908,0.000001817353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948609,0.001720643,0.00009745443,0.0004388556,0.00004744104,0.00001711985,0.001504759,0.0000123396,0.001300371],"genre_scores_gemma":[0.9977963,0.001057752,0.0001942786,0.00009101834,0.00002286012,0.00001930608,0.000644783,0.000004252193,0.0001695348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05325073,"threshold_uncertainty_score":0.1058816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05757833889062391,"score_gpt":0.3101846171364095,"score_spread":0.2526062782457856,"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."}}