{"id":"W3042345804","doi":"10.1016/j.vaccine.2020.06.082","title":"A global agenda for older adult immunization in the COVID-19 era: A roadmap for action","year":2020,"lang":"en","type":"article","venue":"Vaccine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Federation on Ageing","funders":"Merck; National Institutes of Health; Pfizer","keywords":"Immunization; Context (archaeology); Pandemic; Coronavirus disease 2019 (COVID-19); Global health; Medicine; Healthy aging; Variety (cybernetics); Public health; Political science; Business; Economic growth; Gerontology; Immunology; Geography; Disease; Computer science; Nursing; Economics; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03250062,0.001558405,0.003009991,0.002683775,0.005128206,0.01168494,0.003462175,0.02651523,0.05882759],"category_scores_gemma":[0.04940601,0.0008072947,0.003969742,0.002269448,0.005258544,0.01745779,0.01381843,0.02505261,0.009294158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009096777,"about_ca_system_score_gemma":0.1170282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02554812,"about_ca_topic_score_gemma":0.03212111,"domain_scores_codex":[0.984812,0.007671818,0.001039604,0.0006718037,0.002274915,0.003529827],"domain_scores_gemma":[0.8986723,0.02944474,0.004696744,0.002071089,0.0161612,0.04895389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006318176,0.001053699,0.006256024,0.003395993,0.0002020293,0.0004289525,0.001253016,0.0005972102,0.001055588,0.05781556,0.7895722,0.1377378],"study_design_scores_gemma":[0.0005494544,0.0007818338,0.01411126,0.01014036,0.0003126698,0.0003186774,0.01102408,0.0006851511,0.0003882821,0.058564,0.9029323,0.0001919509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001037996,0.02828474,0.001070635,0.9546028,0.008382785,0.00009183687,0.0005387786,0.0001230155,0.005867344],"genre_scores_gemma":[0.05096157,0.1331352,0.02227062,0.7391429,0.03614021,0.001660201,0.003373825,0.0002162234,0.0130993],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05882759,"threshold_uncertainty_score":0.1967979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506143192298871,"score_gpt":0.4394255162099521,"score_spread":0.288811196980065,"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."}}