{"id":"W4401764064","doi":"10.2196/43173","title":"Impact of the COVID-19 Pandemic on Influenza Hospital Admissions and Deaths in Wales: Descriptive National Time Series Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Social Care Research and Development Division; Economic and Social Research Council; Welsh Ambulance Services NHS Trust; Public Health Agency; Medical Research Council; Cardiff University; Department of Health and Social Care; British Heart Foundation; Scottish Government; Engineering and Physical Sciences Research Council; UK Research and Innovation; Health and Care Research Wales; Chief Scientist Office, Scottish Government Health and Social Care Directorate; Public Health Wales; Swansea University; Wellcome Trust","keywords":"Medicine; Pandemic; Population; Incidence (geometry); Descriptive statistics; Emergency medicine; Demography; Pediatrics; Environmental health; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003998219,0.0002810141,0.0006509241,0.002340509,0.0002670934,0.0006727951,0.0006077297,0.0004047359,0.001846065],"category_scores_gemma":[0.008974032,0.0003813532,0.001603113,0.002813131,0.000392233,0.0007705641,0.001146239,0.0007278121,0.0003515825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089563,"about_ca_system_score_gemma":0.0009432399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556981,"about_ca_topic_score_gemma":0.02157133,"domain_scores_codex":[0.9977219,0.0008541187,0.0004353538,0.0004088708,0.0003193285,0.0002605172],"domain_scores_gemma":[0.9929818,0.003008078,0.002310414,0.0006248815,0.0006968745,0.0003779796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002536802,0.00006413485,0.99365,0.0001423909,0.0005800714,0.0001667653,0.0002184195,0.001075292,0.0001115044,0.0001011686,0.001108401,0.002528231],"study_design_scores_gemma":[0.0000154566,0.0002333299,0.9935381,0.00004907303,0.0001178742,0.0002636831,0.0005743443,0.004285427,0.00006396594,0.00007982433,0.0007582696,0.0000207553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883951,0.0003597884,0.0006350494,0.0001191354,0.00001603298,0.0000808741,0.009826262,0.00001986128,0.0005479206],"genre_scores_gemma":[0.9864103,0.0002487312,0.0005338973,0.00008048496,0.00002108857,0.0002529821,0.0120897,0.000009990008,0.0003529394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556981,"threshold_uncertainty_score":0.05084193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195578629147771,"score_gpt":0.4471876954539963,"score_spread":0.3276298325392192,"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."}}