{"id":"W2018921760","doi":"10.1371/currents.rrn1143","title":"Seasonal Influenza Vaccine Allocation in the Canadian Population during a Pandemic","year":2009,"lang":"en","type":"article","venue":"PLoS Currents","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Public Health Agency of Canada","funders":"","keywords":"Seasonal influenza; Vaccination; Pandemic; Medicine; Receipt; Transmission (telecommunications); Population; Human mortality from H5N1; Live attenuated influenza vaccine; Influenza vaccine; Relative risk; Environmental health; Demography; Virology; Coronavirus disease 2019 (COVID-19); Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.001232274,0.0003519763,0.0005636238,0.0004586352,0.001311126,0.0007984864,0.001450196,0.0007251764,0.001828858],"category_scores_gemma":[0.004694728,0.0002767124,0.0006822389,0.0006349767,0.0005640943,0.0003560286,0.0007281608,0.000449227,0.0001410925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0270904,"about_ca_system_score_gemma":0.02927248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792739,"about_ca_topic_score_gemma":0.9736894,"domain_scores_codex":[0.9991482,0.0001771597,0.00002082649,0.0001704001,0.0001454323,0.0003379194],"domain_scores_gemma":[0.9992911,0.0001261096,0.00009840638,0.00004274735,0.0002599035,0.0001817365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001098047,0.0002212778,0.874608,0.0001887658,0.0004745916,0.0003887225,0.001260818,0.07308518,0.002242773,0.003594124,0.007078236,0.03575946],"study_design_scores_gemma":[0.0002787974,0.0005496143,0.8465154,0.0001236355,0.0004794625,0.0003243106,0.002418494,0.1374633,0.0008253335,0.002152617,0.008733665,0.0001354034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913267,0.0008091546,0.0009505854,0.001395649,0.00003593985,0.000131749,0.00195821,0.00003920363,0.003352714],"genre_scores_gemma":[0.9978167,0.0003042349,0.0005473768,0.0001181177,0.000006176313,0.0000210926,0.0005830737,0.000003877169,0.0005993034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0270904,"threshold_uncertainty_score":0.1965556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125161411483239,"score_gpt":0.3898621433418717,"score_spread":0.2773460021935478,"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."}}