{"id":"W4391850176","doi":"10.1016/j.vaccine.2024.01.079","title":"A population-based, province-wide, record-linkage interrupted time series analysis of impact of the universal seasonal influenza vaccination policy on seasonal influenza vaccine uptake among 5–64-year-olds in the province of Manitoba, Canada","year":2024,"lang":"en","type":"article","venue":"Vaccine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Manitoba; Government of British Columbia; Ministry of Health; University of Manitoba; Manitoba Health; George & Fay Yee Centre for Healthcare Innovation","funders":"Manitoba Centre for Health Policy, University of Manitoba; Canada Research Chairs","keywords":"Demography; Vaccination; Population; Seasonal influenza; Residence; Medicine; Trend analysis; Geography; Environmental health; Immunology; Disease; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Internal medicine","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":[0.002602468,0.0006738931,0.0007907611,0.001908766,0.001428857,0.001066326,0.002133729,0.0005801777,0.001201384],"category_scores_gemma":[0.004979353,0.0005443821,0.001557876,0.006787228,0.0006367314,0.0003620202,0.0009852435,0.0009792574,0.0002017111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01963421,"about_ca_system_score_gemma":0.03249694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882773,"about_ca_topic_score_gemma":0.9819235,"domain_scores_codex":[0.9983412,0.0003780922,0.0001494152,0.0003297975,0.0003541639,0.0004473187],"domain_scores_gemma":[0.9958116,0.0004370672,0.0008747181,0.0003313368,0.001898099,0.0006471741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002617644,0.00007189308,0.9944122,0.0000657468,0.000493446,0.00006404501,0.0003141994,0.0009596129,0.0001627027,0.00007787341,0.000781644,0.0023348],"study_design_scores_gemma":[0.00004233549,0.0000958629,0.9940636,0.00003564278,0.0002626224,0.00004396162,0.0008187398,0.003918686,0.00006472258,0.00002145268,0.0006172697,0.00001515344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894916,0.0004920389,0.000657776,0.0001534444,0.00001687546,0.00009518696,0.008727953,0.00002012092,0.0003450092],"genre_scores_gemma":[0.9914114,0.0003180371,0.001100719,0.00007265116,0.000009203708,0.00009871421,0.006505233,0.000007061184,0.0004768441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01963421,"threshold_uncertainty_score":0.1424568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389467759766805,"score_gpt":0.3164283832460885,"score_spread":0.2925337056484204,"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."}}