{"id":"W4411207771","doi":"10.3399/bjgpo.2024.0140","title":"Patient characteristics associated with clinically coded long COVID: an OpenSAFELY study using electronic health records","year":2025,"lang":"en","type":"article","venue":"BJGP Open","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"National Institute for Health Research Applied Research Collaboration West; Medical Research Council; NIHR Cambridge Biomedical Research Centre; University College London Hospitals NHS Foundation Trust; British Heart Foundation; University College London; University of Bristol; Department of Health and Social Care; National Institute for Health and Care Research Applied Research Collaboration Oxford and Thames Valley; UK Research and Innovation; NIHR Bristol Biomedical Research Centre; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; NIHR Oxford Biomedical Research Centre; Wellcome Trust","keywords":"Coronavirus disease 2019 (COVID-19); Health records; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Electronic health record; Medicine; Virology; Health care; Internal medicine; Outbreak; Infectious disease (medical specialty); Disease; Political science","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":[0.003403214,0.0003790995,0.0006533783,0.001549797,0.0008770236,0.001431407,0.0009254651,0.0007859213,0.003727169],"category_scores_gemma":[0.01143953,0.0007140535,0.001145335,0.00277,0.0005711825,0.002302155,0.002652988,0.001112536,0.0007935173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078174,"about_ca_system_score_gemma":0.001061542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616551,"about_ca_topic_score_gemma":0.01612578,"domain_scores_codex":[0.9962232,0.001137167,0.0005927593,0.0008460736,0.000619176,0.0005815611],"domain_scores_gemma":[0.9870667,0.002439622,0.007112876,0.001134925,0.001198692,0.001047167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003453507,0.0001058561,0.9972389,0.0000872885,0.00007556625,0.0001215395,0.0006104428,0.00002183484,0.00008515285,0.00004816154,0.0004467262,0.0008130973],"study_design_scores_gemma":[0.0000556108,0.000340434,0.9966387,0.0001141616,0.00005149023,0.0003233287,0.001529566,0.000166254,0.00004684297,0.0000362533,0.000678342,0.00001896986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958329,0.0001967764,0.0001290997,0.0001347879,0.000008232812,0.00008658663,0.003213465,0.000003400543,0.0003948314],"genre_scores_gemma":[0.9958454,0.000165111,0.0001816199,0.0001744808,0.00002833917,0.0001814985,0.003125316,0.000006340305,0.0002918993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616551,"threshold_uncertainty_score":0.03214282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0459114600160281,"score_gpt":0.4130017941686128,"score_spread":0.3670903341525847,"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."}}