{"id":"W4206912166","doi":"10.1371/journal.pmed.1003891","title":"Pandemic health consequences: Grasping the long COVID tail","year":2022,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sinai Health System; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Betacoronavirus; Coronavirus Infections; Virology; MEDLINE; Medicine; Biology; Outbreak; Infectious disease (medical specialty); Pathology; Disease","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":[0.005213921,0.0009963404,0.0008332843,0.0008309041,0.002578877,0.006523914,0.001130966,0.004757552,0.03294928],"category_scores_gemma":[0.01271501,0.0003680296,0.0008968867,0.0006390422,0.005021509,0.01197501,0.006656018,0.01205784,0.006221549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002303908,"about_ca_system_score_gemma":0.004152949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00716654,"about_ca_topic_score_gemma":0.0149955,"domain_scores_codex":[0.9982665,0.0005365931,0.00008377961,0.0002044594,0.0004481858,0.0004605555],"domain_scores_gemma":[0.9919215,0.002915802,0.0008345454,0.0006613235,0.001452051,0.002214638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001170155,0.0002070612,0.01956946,0.001334043,0.0003157057,0.00124626,0.002107756,0.001848566,0.00369938,0.1208776,0.4647587,0.3828653],"study_design_scores_gemma":[0.00007499987,0.0003142619,0.01610116,0.002783758,0.0001948633,0.0007419013,0.006143705,0.001207446,0.001066988,0.3015165,0.6696653,0.0001891907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01934916,0.09020694,0.007404495,0.7918994,0.02321325,0.00005479492,0.002610773,0.0003599784,0.06490117],"genre_scores_gemma":[0.3656788,0.1333315,0.006545936,0.4284206,0.0385673,0.0001635753,0.001749654,0.000446132,0.02509652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03294928,"threshold_uncertainty_score":0.1102263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629046844915877,"score_gpt":0.3470768342541743,"score_spread":0.2907863658050156,"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."}}