{"id":"W4388818416","doi":"10.14745/ccdr.v49i10a03","title":"Healthcare costs and effects of post-COVID-19 condition in Canada","year":2023,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Health Canada","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Health care; Vaccination; Quality-adjusted life year; Environmental health; Cost–benefit analysis; Disease; Cost effectiveness; Infectious disease (medical specialty); Virology; Economic growth; Economics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001676174,0.0005855187,0.0005740928,0.003824718,0.001822196,0.002148518,0.001302252,0.0006830521,0.003592793],"category_scores_gemma":[0.00831577,0.0003373837,0.00204275,0.007667416,0.0006295681,0.0006807434,0.001034306,0.00134294,0.0001978806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1072347,"about_ca_system_score_gemma":0.1142328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953763,"about_ca_topic_score_gemma":0.9963781,"domain_scores_codex":[0.9971792,0.0003708235,0.0002561882,0.0002148437,0.001339425,0.0006395285],"domain_scores_gemma":[0.9934437,0.0007609125,0.001164508,0.00007091849,0.003746922,0.0008130361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005640161,0.0001508697,0.7575616,0.008533803,0.003216066,0.001043198,0.001003794,0.0162279,0.0003489598,0.01061172,0.06580748,0.1349306],"study_design_scores_gemma":[0.0001607741,0.0001927871,0.9432731,0.005518174,0.001691734,0.0005934998,0.00184084,0.009156516,0.0003127576,0.002479195,0.03463894,0.0001416773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4851784,0.2407871,0.002997046,0.04022294,0.000691975,0.0006872563,0.1656601,0.0002414528,0.06353381],"genre_scores_gemma":[0.9261064,0.05170433,0.002444479,0.002189461,0.000137543,0.0001346824,0.01485993,0.00002975086,0.002393394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072347,"threshold_uncertainty_score":0.7780459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038833159348035,"score_gpt":0.395754084625991,"score_spread":0.2918707686911876,"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."}}