{"id":"W4402253966","doi":"10.1186/s13690-024-01358-6","title":"Two-year epidemiology of post-COVID-19 conditions in Bangladesh: a cohort study of post-COVID-19 from 12,925 SARS-CoV-2 cases between July and December 2021–2023 in Bangladesh","year":2024,"lang":"en","type":"article","venue":"Archives of Public Health","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Physiotherapy Association","funders":"Jashore University of Science and Technology; University Grants Commission","keywords":"Coronavirus disease 2019 (COVID-19); Epidemiology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Pandemic; Public health; Cohort study; Environmental health; Virology; Coronavirus Infections; Cohort; Outbreak; Internal medicine; Disease; Pathology; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004697093,0.0005050437,0.002371831,0.002521406,0.000111684,0.00002296314,0.0004816217,0.0002299591,0.0001480135],"category_scores_gemma":[0.02212791,0.000473744,0.0002631909,0.001078218,0.0008817328,0.0003402544,0.0003901821,0.0008765018,0.00001989613],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987358,"about_ca_system_score_gemma":0.006339478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1065244,"about_ca_topic_score_gemma":0.04405314,"domain_scores_codex":[0.9912953,0.003447201,0.00236737,0.001228689,0.0005777334,0.001083715],"domain_scores_gemma":[0.9676028,0.02933517,0.0006569094,0.001045754,0.0001203029,0.001239026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004188604,0.001076585,0.9763076,0.003384077,0.0005017313,0.0004915902,0.01151578,0.00002868797,0.001625493,0.001788249,0.001713159,0.001148131],"study_design_scores_gemma":[0.006928038,0.003489462,0.9792043,0.0007427955,0.0001826206,0.00009223659,0.002886299,0.0002079486,0.0001182026,0.003842252,0.001956421,0.0003494136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540373,0.001611054,0.0002875514,0.03698936,0.0001631551,0.00359314,0.002534432,0.00008842801,0.0006955921],"genre_scores_gemma":[0.9874482,0.0002513079,0.001304784,0.009202853,0.0001761376,0.0001999916,0.001296823,0.00007489984,0.00004507566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06247126,"threshold_uncertainty_score":0.9997714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07477673717362862,"score_gpt":0.4066857162016016,"score_spread":0.331908979027973,"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."}}