{"id":"W3138321426","doi":"10.1016/j.jaip.2021.03.006","title":"School Attendance, Asthma Risk, and COVID-19 in Children","year":2021,"lang":"en","type":"article","venue":"The Journal of Allergy and Clinical Immunology In Practice","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Institute of Allergy and Infectious Diseases; Genentech; Sanofi; Agency for Healthcare Research and Quality; National Peanut Board; Aimmune Therapeutics; European Academy of Allergy and Clinical Immunology; Pfizer; Institute for Health Metrics and Evaluation; GlaxoSmithKline; Novartis; Food Allergy Canada; Allergy Therapeutics","keywords":"Asthma; Medicine; Pandemic; Attendance; Mediation; Coronavirus disease 2019 (COVID-19); Disease; Family medicine; Pediatrics; Immunology; Infectious disease (medical specialty); Pathology","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":[0.0005990692,0.0003207585,0.0004220687,0.0009446231,0.0007062942,0.001007518,0.0005584781,0.0009022902,0.003513633],"category_scores_gemma":[0.002319333,0.0004235129,0.0008043752,0.001188972,0.0003211688,0.0006106831,0.0009989723,0.001752656,0.0004291497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008241138,"about_ca_system_score_gemma":0.0008616701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02595562,"about_ca_topic_score_gemma":0.02838246,"domain_scores_codex":[0.9993398,0.00009864091,0.00007571635,0.0001118915,0.0001444143,0.0002295496],"domain_scores_gemma":[0.9983014,0.000187394,0.0007985141,0.00006578155,0.0001161995,0.000530665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004753448,0.00004716231,0.999175,0.000009778695,0.00002259276,0.0000377875,0.00004711704,0.00001277482,0.00003432764,0.0000134844,0.00009401554,0.0004583123],"study_design_scores_gemma":[0.000002499992,0.00004846663,0.9993653,0.00001180472,0.00001736285,0.00009243815,0.0002544544,0.00003836045,0.00001704387,0.00001155611,0.0001383013,0.000002395942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963652,0.0009061639,0.00003292802,0.0002414702,0.00003132243,0.000008637647,0.0008051741,0.000009005232,0.001600047],"genre_scores_gemma":[0.9988099,0.0002662251,0.00005107467,0.00004838042,0.00002240142,0.000009610348,0.0003407556,0.000003013232,0.0004486124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02595562,"threshold_uncertainty_score":0.0516091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920221349383449,"score_gpt":0.3651487950641816,"score_spread":0.3459465815703471,"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."}}