{"id":"W2315196486","doi":"10.2807/1560-7917.es.2019.24.4.1900055","title":"Interim estimates of 2018/19 vaccine effectiveness against influenza A(H1N1)pdm09, Canada, January 2019","year":2019,"lang":"en","type":"article","venue":"Eurosurveillance","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Centre hospitalier universitaire de Québec; Institut National de Santé Publique du Québec; Provincial Laboratory of Public Health; Université Laval; University of Alberta; University of Calgary; University of British Columbia; BC Centre for Disease Control; Public Health Ontario; University of Toronto","funders":"British Columbia Centre for Disease Control; Institut National de Santé Publique du Québec","keywords":"Interim; Confidence interval; Medicine; Influenza vaccine; Interim analysis; Virology; Influenza-like illness; Influenza A virus; Coronavirus disease 2019 (COVID-19); Internal medicine; Vaccination; Virus; Randomized controlled trial; Geography; Disease","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":[0.00515111,0.0007217505,0.0006974513,0.0009329017,0.0005057923,0.0009019222,0.00112885,0.000351193,0.002311787],"category_scores_gemma":[0.008447264,0.0003159085,0.001025497,0.0009678403,0.0002959644,0.0005277875,0.000577726,0.000938474,0.0003834517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01337716,"about_ca_system_score_gemma":0.0130353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9008707,"about_ca_topic_score_gemma":0.8724195,"domain_scores_codex":[0.9982328,0.0002371837,0.00007648498,0.0001912676,0.000932348,0.0003297611],"domain_scores_gemma":[0.9965835,0.0003964764,0.0004352706,0.0001593795,0.002131103,0.000294249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007461181,0.0001999622,0.8018177,0.0008258042,0.003019253,0.0001354958,0.0004841787,0.02983063,0.00219708,0.003691906,0.05527482,0.09506211],"study_design_scores_gemma":[0.0002061187,0.0007084369,0.956775,0.0001847103,0.000850662,0.00007321519,0.0001633718,0.008323126,0.001797788,0.0003421853,0.03052533,0.00005010338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035964,0.007805446,0.008711637,0.00276278,0.0002096512,0.0005676341,0.3529729,0.0005357789,0.02283784],"genre_scores_gemma":[0.9054632,0.001218194,0.004772526,0.000443891,0.00005986321,0.0003854563,0.07846026,0.00003687513,0.009159808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09912932,"threshold_uncertainty_score":0.1994262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347005143087085,"score_gpt":0.3381260657643402,"score_spread":0.3046560143334693,"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."}}