{"id":"W4416398161","doi":"10.1186/s12879-025-11940-0","title":"The tale of two assumptions: incorporating healthcare-seeking behaviour in epidemic forecasting","year":2025,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Constant (computer programming); Coronavirus disease 2019 (COVID-19); Epidemic model; Medical microbiology; Pandemic; Human influenza; Infection rate; Mathematical model","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01296614,0.0008115704,0.001077734,0.0009271619,0.0006024925,0.002592854,0.002100914,0.002015563,0.001104145],"category_scores_gemma":[0.051972,0.0005897617,0.001047008,0.0009017565,0.001566175,0.00546791,0.002012902,0.003284742,0.0002511856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975208,"about_ca_system_score_gemma":0.002289565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03006083,"about_ca_topic_score_gemma":0.01437188,"domain_scores_codex":[0.9961939,0.002327713,0.0002076856,0.0004346687,0.0006095545,0.0002264309],"domain_scores_gemma":[0.9797283,0.0155069,0.001530032,0.001502188,0.001361309,0.0003712525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003607441,0.0001373296,0.0375585,0.000265991,0.0002711526,0.000239201,0.0009635976,0.848188,0.0008914303,0.04983845,0.003554855,0.05773072],"study_design_scores_gemma":[0.00002395274,0.0001009033,0.005771419,0.0001530424,0.00006605987,0.00006810356,0.000291185,0.9360805,0.0004189987,0.05457366,0.002380189,0.00007206855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3849727,0.005191255,0.5617871,0.03441279,0.000966585,0.0002046674,0.0009181445,0.0004891167,0.01105755],"genre_scores_gemma":[0.921243,0.001862068,0.07249977,0.001556146,0.0005527858,0.00009327031,0.0005489627,0.00007633147,0.001567593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03006083,"threshold_uncertainty_score":0.06857234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1871393466315191,"score_gpt":0.4372896086959565,"score_spread":0.2501502620644374,"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."}}