{"id":"W4390980284","doi":"10.3389/fimmu.2024.1341843","title":"Metabolomic and immune alterations in long COVID patients with chronic fatigue syndrome","year":2024,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Institute of Musculoskeletal Health and Arthritis; Canadian Institutes of Health Research; Nierstichting; Arthritis Society","keywords":"Metabolomics; Medicine; Chronic fatigue syndrome; Encephalomyelitis; Disease; Internal medicine; Immune system; Pathophysiology; Coronavirus disease 2019 (COVID-19); Immunology; Gastroenterology; Bioinformatics; Biology; Central nervous system; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002132903,0.0002161708,0.0005481614,0.0007888211,0.00005005382,0.00003705923,0.0001313661,0.0001752493,0.00004917378],"category_scores_gemma":[0.0001710263,0.0001835866,0.00004644778,0.0004408045,0.0002935592,0.0002469569,0.0000797898,0.0004862002,0.00001566609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006084439,"about_ca_system_score_gemma":0.00039154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002484288,"about_ca_topic_score_gemma":0.0001627053,"domain_scores_codex":[0.9985676,0.000141824,0.0003559039,0.0004182413,0.0001296352,0.0003867587],"domain_scores_gemma":[0.9993261,0.0001679439,0.00005252188,0.0003561441,0.00002820043,0.00006911129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001124981,0.0003000463,0.978384,0.0009754939,0.0007741604,0.001771622,0.00128322,0.0001907421,0.001388926,0.0008903961,0.0009020036,0.01201438],"study_design_scores_gemma":[0.005353028,0.001012777,0.9892824,0.000687813,0.0001144992,0.000200194,0.00005829443,0.00100555,0.0002856444,0.0004113646,0.001349504,0.0002389356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498429,0.04045255,0.005837116,0.001517028,0.00111581,0.001027318,0.00001232367,0.0000862079,0.0001086866],"genre_scores_gemma":[0.996758,0.0004139618,0.002078403,0.0001887845,0.00002624987,0.0001338052,0.0001298323,0.00003830061,0.0002327043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04691501,"threshold_uncertainty_score":0.7486446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00603792849503143,"score_gpt":0.2551331956160972,"score_spread":0.2490952671210658,"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."}}