{"id":"W3097102424","doi":"10.1371/journal.pone.0241549","title":"Projecting influenza vaccine effectiveness: A simulation study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Vaccination; Immunity; Vaccine efficacy; Antigenic drift; Influenza vaccine; Medicine; Population; Immunology; Transmission (telecommunications); Attack rate; Epidemic model; Demography; Biology; Virology; Influenza A virus; Immune system; Environmental health; Virus","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00239589,0.0008913595,0.0009558325,0.000640896,0.0004741118,0.0008549339,0.001134967,0.001641288,0.001843292],"category_scores_gemma":[0.00781978,0.0004417855,0.001391924,0.0008869865,0.000457759,0.000869403,0.0007576802,0.001648431,0.0001531734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478198,"about_ca_system_score_gemma":0.00170599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03176207,"about_ca_topic_score_gemma":0.0154461,"domain_scores_codex":[0.9992092,0.0004928031,0.00003874311,0.0001033796,0.00005549028,0.0001003797],"domain_scores_gemma":[0.9889085,0.009320394,0.0004759563,0.0003642561,0.0006238983,0.0003070508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001490359,0.0001443741,0.006515634,0.00003811479,0.00008188312,0.00005685759,0.00002777309,0.9901928,0.000219979,0.0008830849,0.0002235839,0.001466921],"study_design_scores_gemma":[0.00005354279,0.0001173408,0.001104043,0.000008660235,0.00003144192,0.00001438245,0.00002449498,0.9978625,0.0001675767,0.0004635194,0.0001429811,0.000009498627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810238,0.0003141426,0.01359778,0.0004050099,0.00003313992,0.0001086625,0.001279078,0.00008984402,0.003148585],"genre_scores_gemma":[0.9901217,0.0002094357,0.007947463,0.00008221416,0.00001308993,0.0001292905,0.001008766,0.00001383924,0.0004741107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03176207,"threshold_uncertainty_score":0.0631544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3210872135811051,"score_gpt":0.42002011182994,"score_spread":0.09893289824883489,"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."}}