{"id":"W4405500767","doi":"10.1016/j.tem.2024.11.008","title":"Skeletal muscle adaptations and post-exertional malaise in long COVID","year":2024,"lang":"en","type":"review","venue":"Trends in Endocrinology and Metabolism","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"ME Research UK; ZonMw","keywords":"myalgia; Malaise; Skeletal muscle; Medicine; Exertion; Muscle fatigue; Internal medicine; Exercise intolerance; Pathophysiology; Cardiology; Physical medicine and rehabilitation; Physical therapy; Heart failure","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":[0.0005460789,0.0007202842,0.001334008,0.001673589,0.0002305333,0.0009694766,0.0006109268,0.001237365,0.003988789],"category_scores_gemma":[0.0008337275,0.0001906722,0.0006417169,0.001164105,0.0003546778,0.0009694656,0.0006998402,0.001200712,0.001747997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003821822,"about_ca_system_score_gemma":0.0007470908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025274,"about_ca_topic_score_gemma":0.001659333,"domain_scores_codex":[0.9998348,0.00003333178,0.00003340631,0.00003086118,0.00004800618,0.00001958245],"domain_scores_gemma":[0.9997085,0.0001362746,0.00005880704,0.000006423673,0.00006549566,0.00002445777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001620434,0.00007286829,0.000405387,0.02430047,0.0001624788,0.0002733993,0.00006598155,0.0001936249,0.0007742186,0.001752476,0.02217174,0.9496652],"study_design_scores_gemma":[0.00006801341,0.0002951935,0.00525778,0.01914221,0.0004248119,0.004667081,0.0001938769,0.0001949266,0.0004280929,0.002774381,0.9665043,0.00004926008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001206356,0.9989666,0.00005649658,0.000273534,0.0001408313,0.000004128759,0.00001677221,0.000004469391,0.0004165837],"genre_scores_gemma":[0.0008656196,0.9981648,0.00009467907,0.0002129672,0.0002514402,0.000007256267,0.00003762271,0.000001193853,0.0003643951],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003988789,"threshold_uncertainty_score":0.01334387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05273773109264791,"score_gpt":0.3793734600711332,"score_spread":0.3266357289784853,"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."}}