{"id":"W4413943298","doi":"10.17269/s41997-025-01083-9","title":"A national atlas to improve the study of Canadians living with long COVID (post-COVID-19 condition)","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University Health Network; McGill University; Sunnybrook Hospital; Alberta Health Services; University of Alberta; Positive Living Society of British Columbia; University of Toronto; Université de Sherbrooke; Western University; Université Laval; University of Saskatchewan; Université de Montréal; George & Fay Yee Centre for Healthcare Innovation; Institut National de Santé Publique du Québec; University of Manitoba; Centre Hospitalier Universitaire de Sherbrooke; University of British Columbia; St. Michael's Hospital; BC Centre for Disease Control; Toronto General Hospital; McMaster University; Sinai Health System","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Atlas (anatomy); Medicine; Political science; Virology; Infectious disease (medical specialty); Pathology; Outbreak; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002886298,0.0009633265,0.001006693,0.01200639,0.004821425,0.002278816,0.002294265,0.001273252,0.01529319],"category_scores_gemma":[0.009045155,0.0005533777,0.001319588,0.01877654,0.0007532745,0.001121466,0.003159321,0.002102056,0.002475656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03566158,"about_ca_system_score_gemma":0.2127695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885633,"about_ca_topic_score_gemma":0.9913356,"domain_scores_codex":[0.9970144,0.0003153113,0.0003129426,0.0001852393,0.001143603,0.001028537],"domain_scores_gemma":[0.9729239,0.0007143815,0.00107381,0.0005084525,0.0196868,0.005092724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001216683,0.00008054715,0.05150355,0.001476457,0.00008381811,0.0001893451,0.0008234628,0.0003856185,0.0003353524,0.00450259,0.8806796,0.05981793],"study_design_scores_gemma":[0.00007673117,0.00005314019,0.5019099,0.001852557,0.00007421248,0.0002041672,0.002239271,0.0002996424,0.0001185595,0.0007198403,0.4923691,0.00008286923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02749891,0.01582684,0.00420368,0.03152797,0.004584674,0.004034148,0.7955108,0.001661196,0.1151518],"genre_scores_gemma":[0.1766638,0.0421323,0.05413052,0.01785104,0.001707407,0.007324432,0.6424213,0.0007240764,0.05704501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03566158,"threshold_uncertainty_score":0.2587441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338407031572894,"score_gpt":0.3369452771390316,"score_spread":0.3135612068233026,"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."}}