{"id":"W4281853699","doi":"10.3390/vaccines10060899","title":"Influenza Vaccination and COVID-19 Outcomes in People Older than 50 Years: Data from the Observational Longitudinal SHARE Study","year":2022,"lang":"en","type":"article","venue":"Vaccines","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"National Institute on Aging; Deanship of Scientific Research, King Saud University; European Commission","keywords":"Vaccination; Medicine; Confounding; Logistic regression; Propensity score matching; Observational study; Influenza vaccine; Coronavirus disease 2019 (COVID-19); Cohort study; Demography; Internal medicine; Immunology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002071159,0.0002667473,0.0004977557,0.0007551389,0.0002792258,0.0004322937,0.0003795951,0.0003834193,0.0009124594],"category_scores_gemma":[0.004671275,0.000243084,0.00108958,0.001317253,0.000178223,0.0004847548,0.0008891472,0.0005977223,0.0001636756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234155,"about_ca_system_score_gemma":0.000373976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00660145,"about_ca_topic_score_gemma":0.007994652,"domain_scores_codex":[0.9990472,0.0003647322,0.0001579074,0.0001540878,0.000147629,0.0001283693],"domain_scores_gemma":[0.9963259,0.0006657458,0.001970029,0.0003618248,0.0003369421,0.0003394811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002282805,0.00002128217,0.9985762,0.00004086895,0.0002392555,0.00002017447,0.0000490448,0.00002284899,0.00006985725,0.00001318668,0.0001145997,0.000604452],"study_design_scores_gemma":[0.00001012921,0.00005901079,0.9994727,0.00001117451,0.00008804916,0.00003981166,0.0000554666,0.00007476956,0.00001424556,0.00001059343,0.0001618274,0.000002205399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958864,0.001069719,0.0002039398,0.00006846081,0.0000141756,0.0000151893,0.00246168,0.000003772156,0.0002767601],"genre_scores_gemma":[0.9966789,0.0004851959,0.0001121403,0.00005316188,0.00002539535,0.00003047844,0.002514809,0.000002560712,0.00009731229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00660145,"threshold_uncertainty_score":0.01312608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3208589922754517,"score_gpt":0.4557117707411382,"score_spread":0.1348527784656865,"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."}}