{"id":"W4223991973","doi":"10.1016/j.jcjd.2022.04.003","title":"Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"BC Children's Hospital","keywords":"Medicine; Interquartile range; Glycated hemoglobin; Anthropometry; Dyslipidemia; Confidence interval; Pediatrics; Type 1 diabetes; Pandemic; Type 2 diabetes; Diabetes mellitus; Coronavirus disease 2019 (COVID-19); Internal medicine; Obesity; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006235488,0.0004218738,0.0005961881,0.001187048,0.0009393852,0.001049014,0.000474116,0.0009677183,0.001040513],"category_scores_gemma":[0.002750935,0.0005061301,0.0005981301,0.001663665,0.000497915,0.0007565229,0.0008200951,0.002269419,0.0002365976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450317,"about_ca_system_score_gemma":0.001124837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0766161,"about_ca_topic_score_gemma":0.09072244,"domain_scores_codex":[0.9991579,0.0001101942,0.00008165502,0.0001322485,0.0001603972,0.0003574888],"domain_scores_gemma":[0.998515,0.0001544929,0.0005352732,0.00004812164,0.0002076759,0.0005393762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001056502,0.00005820715,0.9986589,0.00000914449,0.00001521098,0.0001277287,0.0001920964,0.00002636167,0.00006200027,0.00001063249,0.0001426526,0.0005914237],"study_design_scores_gemma":[0.000001433024,0.00005574522,0.999183,0.000007896234,0.000007198281,0.0001015674,0.0005006899,0.00001715573,0.0000146479,0.000004939009,0.0001025586,0.000003161726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968996,0.0005809395,0.00004132815,0.0001700108,0.00004196617,0.000013677,0.0011103,0.000005816746,0.00113638],"genre_scores_gemma":[0.9982187,0.000396742,0.00006285666,0.00009018711,0.0000309739,0.00001528855,0.0008501859,0.000004620045,0.0003305039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0766161,"threshold_uncertainty_score":0.1523403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161574497342977,"score_gpt":0.2119797879551016,"score_spread":0.2003640429816718,"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."}}