{"id":"W4404903839","doi":"10.1186/s12889-024-20854-6","title":"Adult influenza vaccination coverage before, during and after the COVID-19 pandemic in Canada","year":2024,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Public Health Agency of Canada","funders":"","keywords":"Vaccination; Medicine; Pandemic; Biostatistics; Demography; Epidemiology; Environmental health; Public health; Population; Influenza season; Human mortality from H5N1; Coronavirus disease 2019 (COVID-19); Influenza vaccine; Immunology; Disease; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006500788,0.0003298809,0.0003307885,0.001314556,0.001563628,0.0007660062,0.001054781,0.0003798894,0.001884542],"category_scores_gemma":[0.002082343,0.0002413398,0.0006119973,0.002879746,0.0003591329,0.0003983456,0.0005918288,0.0005774351,0.0001741077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02872176,"about_ca_system_score_gemma":0.03817235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970524,"about_ca_topic_score_gemma":0.9972798,"domain_scores_codex":[0.9989913,0.00004554015,0.00006378962,0.0001559634,0.0003390154,0.000404272],"domain_scores_gemma":[0.9984668,0.00006408091,0.0002912608,0.00002947625,0.0007300602,0.0004182671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084578,0.00002310105,0.9904352,0.00007927554,0.00004943127,0.00007438169,0.0004731973,0.0001484127,0.0001456745,0.00008532011,0.001707828,0.006669682],"study_design_scores_gemma":[0.000004295505,0.00002071861,0.9983146,0.00004066544,0.00001974344,0.00003780201,0.000400846,0.0001721483,0.00005598322,0.000008415324,0.0009186485,0.000006254228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729105,0.002609664,0.0001389488,0.0007845259,0.00003035891,0.00005311378,0.01917826,0.00002995884,0.004264674],"genre_scores_gemma":[0.9940518,0.000906753,0.0001711631,0.0001334536,0.000006738593,0.00001944677,0.003752409,0.000004952311,0.000953314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02872176,"threshold_uncertainty_score":0.208392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08247148998506981,"score_gpt":0.3947926110638542,"score_spread":0.3123211210787844,"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."}}