{"id":"W2771056997","doi":"10.1080/07853890.2017.1407035","title":"Understanding modern-day vaccines: what you need to know","year":2017,"lang":"en","type":"review","venue":"Annals of Medicine","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Allergan; Pfizer; GlaxoSmithKline; Amgen","keywords":"Vaccination; Medicine; Disease; Population; Immunology; Risk analysis (engineering); Intensive care medicine; Environmental health","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":[0.002840343,0.001121628,0.00236948,0.001717384,0.0006145941,0.002750274,0.001477852,0.004701308,0.008058],"category_scores_gemma":[0.007633709,0.0004992851,0.001099972,0.001506222,0.00183559,0.01061505,0.001376503,0.007095381,0.003742031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347099,"about_ca_system_score_gemma":0.00415317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002542421,"about_ca_topic_score_gemma":0.002678982,"domain_scores_codex":[0.9988369,0.0003569648,0.0001445359,0.0001529676,0.0004151957,0.00009344811],"domain_scores_gemma":[0.9939196,0.004114577,0.000398535,0.0001901762,0.001058885,0.0003181877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001298351,0.0001327069,0.0003662079,0.05535598,0.0002517971,0.0002825343,0.0006474699,0.0004131086,0.001181927,0.01797216,0.2058762,0.71739],"study_design_scores_gemma":[0.00001646716,0.00006069979,0.0003695301,0.01904676,0.00009106878,0.0004827447,0.0003598271,0.00007277184,0.000153036,0.01063553,0.9686775,0.00003400047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001077266,0.9678945,0.0005433619,0.02626169,0.003703467,0.00001391631,0.00006676435,0.00002611226,0.001382413],"genre_scores_gemma":[0.000875033,0.9845687,0.0007433519,0.009749772,0.003146075,0.00002233671,0.00007421905,0.000008041689,0.0008125453],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008058,"threshold_uncertainty_score":0.02695674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5612249060288422,"score_gpt":0.5211924063054387,"score_spread":0.0400324997234035,"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."}}