{"id":"W4312065517","doi":"10.1093/cid/ciac961","title":"The Epidemiology of Long Coronavirus Disease in US Adults","year":2022,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"City University of New York; Pfizer","keywords":"Medicine; Epidemiology; Confidence interval; Coronavirus disease 2019 (COVID-19); Population; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Quarter (Canadian coin); Young adult; Pandemic; Gerontology; Environmental health; Disease; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007773578,0.0002429188,0.000200123,0.0007910938,0.000220837,0.0003839907,0.0002938526,0.0004462511,0.0008050013],"category_scores_gemma":[0.001747982,0.0001953323,0.0002905334,0.001208804,0.0002094721,0.0004233668,0.00047243,0.0003228034,0.0001418315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004785955,"about_ca_system_score_gemma":0.00045484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556119,"about_ca_topic_score_gemma":0.02159668,"domain_scores_codex":[0.9993309,0.0002114367,0.000137744,0.0001279259,0.0001267663,0.00006532056],"domain_scores_gemma":[0.9982991,0.0001220305,0.001081125,0.00005675109,0.0002443509,0.0001967201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001089546,0.00001030282,0.9981574,0.000025552,0.00002642498,0.00001750131,0.00004491519,0.00002496471,0.00005668858,0.00000920533,0.0003164487,0.001299785],"study_design_scores_gemma":[0.000001956486,0.00003143823,0.9992042,0.00002562099,0.000008862327,0.0001004017,0.0001094185,0.00008185889,0.00001101216,0.00001281547,0.000410712,0.000001733217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881129,0.003271069,0.0004108733,0.0005304481,0.0000358846,0.00006037314,0.005985068,0.00001922948,0.001574208],"genre_scores_gemma":[0.9956945,0.0008319881,0.0003825111,0.000265781,0.00003904639,0.00006351015,0.00257887,0.000001947973,0.0001418448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556119,"threshold_uncertainty_score":0.05082482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06498827137349149,"score_gpt":0.4367944697657171,"score_spread":0.3718061983922256,"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."}}