{"id":"W1918972812","doi":"10.1007/bf03404175","title":"Approaches to Immunization Data Collection Employed Across Canada During the Pandemic (H1N1) 2009 Influenza Vaccination Campaign","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; McGill University; University of Alberta; Institut National de Santé Publique du Québec; Santé Montérégie; University of Toronto; Hôpital Charles-Le Moyne; Université de Sherbrooke; Toronto Public Health; Ministry of Health and Social Services; University Health Network; University of British Columbia; Public Health Ontario","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Data collection; Vaccination; Immunization; Computer science; Pandemic; Medicine; Medical emergency; Data science; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Disease; Virology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.04425622,0.0007245406,0.000796815,0.009594896,0.008684027,0.007690725,0.003752436,0.0008135476,0.001719123],"category_scores_gemma":[0.0865602,0.001027009,0.0008538614,0.01832458,0.001617058,0.001752841,0.003984554,0.001673695,0.0003156803],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08631372,"about_ca_system_score_gemma":0.2051752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856567,"about_ca_topic_score_gemma":0.987363,"domain_scores_codex":[0.9426029,0.02487794,0.007147348,0.003095574,0.01615603,0.00612027],"domain_scores_gemma":[0.9168982,0.01703345,0.005488426,0.003346452,0.05329889,0.003934608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007250714,0.0005004921,0.5935963,0.002483366,0.0007054237,0.0006410269,0.05999836,0.00757433,0.007101121,0.009156784,0.03116196,0.2863558],"study_design_scores_gemma":[0.0001347151,0.0003279855,0.8440835,0.001466319,0.0004657478,0.0001483052,0.0580655,0.00817894,0.004888726,0.001185358,0.08083149,0.0002234077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7453585,0.009100306,0.04538538,0.04331535,0.0007984019,0.02922461,0.0359403,0.0009037166,0.08997338],"genre_scores_gemma":[0.8838925,0.003786419,0.08701114,0.003677998,0.0001946681,0.006870651,0.008575807,0.0001217725,0.005868935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9136863,"threshold_uncertainty_score":0.6262528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5453180867870674,"score_gpt":0.4016392218192347,"score_spread":0.1436788649678327,"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."}}