{"id":"W4391845803","doi":"10.1183/13993003.01761-2023","title":"Core outcome measurement set for research and clinical practice in post-COVID-19 condition (long COVID) in children and young people: an international Delphi consensus study “PC-COS Children”","year":2024,"lang":"en","type":"review","venue":"European Respiratory Journal","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Immunization and Respiratory Diseases; National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; Centers for Disease Control and Prevention; Pirogov Russian National Research Medical University; Great Ormond Street Institute of Child Health; European Society of Intensive Care Medicine; Sheffield Children's NHS Foundation Trust; Universitatea de Medicină şi Farmacie \"Carol Davila\" Bucureşti; Universitätsklinikum Jena; National Institutes of Health; Università di Pisa; Università degli Studi di Parma; World Health Organization; Imperial College Healthcare NHS Trust; University College London; University of Sydney; Universidad de Chile; University of Queensland; Lietuvos Sveikatos Mokslų Universitetas; Imperial College London; University College Cork; Kidney Research UK; Sarcoma UK; Anthony Nolan; LEO Pharma; Alder Hey Children's NHS Foundation Trust; Gilead Sciences; McMaster University; Sanofi; Technische Universität Dresden; National Institute for Health and Care Research","keywords":"Delphi method; Pandemic; Medicine; Set (abstract data type); Coronavirus disease 2019 (COVID-19); Delphi; Psychology; Computer-assisted web interviewing; Family medicine; Disease; Computer science; Business; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1054771,0.0004570072,0.001127793,0.001990214,0.0009263144,0.001302782,0.001386934,0.0003310284,0.00005299837],"category_scores_gemma":[0.04224732,0.0004096639,0.0002277014,0.0009950041,0.0008389116,0.0005115382,0.0006506111,0.004421237,0.00003366333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775947,"about_ca_system_score_gemma":0.004151022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065238,"about_ca_topic_score_gemma":0.01132816,"domain_scores_codex":[0.974412,0.01775267,0.002550604,0.001247253,0.003151167,0.0008862598],"domain_scores_gemma":[0.9936348,0.002702637,0.0008081394,0.0004870091,0.001339886,0.001027537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000490806,0.001635445,0.7436017,0.0009985499,0.0009519554,0.003085802,0.009648495,0.000002145403,8.451097e-7,0.0004949609,0.008326118,0.2307632],"study_design_scores_gemma":[0.004668524,0.003158738,0.4696028,0.003611654,0.00073462,0.002586448,0.01128039,0.000006736941,5.351095e-8,0.0003234925,0.5028789,0.001147617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1672714,0.8137181,0.00003862281,0.001950132,0.00124498,0.01335394,0.0007023293,0.000190794,0.001529663],"genre_scores_gemma":[0.07168621,0.9244761,0.0002778504,0.0006718031,0.002200674,0.0002261837,0.0001216234,0.0002359194,0.0001035726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4945528,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6671245847660808,"score_gpt":0.6400486827955112,"score_spread":0.02707590197056964,"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."}}