{"id":"W3015851459","doi":"10.1016/j.it.2020.04.001","title":"Improving Vaccine-Induced Immunity: Can Baseline Predict Outcome?","year":2020,"lang":"en","type":"review","venue":"Trends in Immunology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Universiteit Antwerpen; Department of Health and Aged Care, Australian Government; Canadian Child Health Clinician Scientist Program; Human Vaccines Project; BC Children's Hospital; Michael Smith Health Research BC; BC Children’s Hospital Foundation; Fonds De La Recherche Scientifique - FNRS; Institut national de la recherche scientifique; Children's Hospital Foundation; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; Fundación Ramón Areces","keywords":"Vaccination; Baseline (sea); Immune system; Medicine; Immunology; Immunity; Biology","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":[0.00330281,0.001499838,0.005602534,0.001526435,0.0002137391,0.00176683,0.001760937,0.00229127,0.004731433],"category_scores_gemma":[0.005925014,0.0004116014,0.001917914,0.001616077,0.0006358309,0.001715404,0.0007134397,0.004287111,0.001963675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241537,"about_ca_system_score_gemma":0.002597851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994268,"about_ca_topic_score_gemma":0.004791087,"domain_scores_codex":[0.9992079,0.0002620233,0.0001488677,0.0001324176,0.0001898005,0.00005904604],"domain_scores_gemma":[0.9966328,0.002380385,0.000325932,0.00005572546,0.0004828928,0.0001224073],"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":[0.0005125987,0.00008310495,0.0004860698,0.04359095,0.001019868,0.00004940447,0.00002273712,0.0002521596,0.0003710424,0.001936133,0.0274675,0.9242084],"study_design_scores_gemma":[0.0008830094,0.0009201634,0.006966363,0.122397,0.006269302,0.0007614932,0.0002039076,0.0004361395,0.0005818724,0.009280227,0.8511754,0.0001250886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002710609,0.9991923,0.00003405914,0.0003609759,0.0002410821,0.000003336,0.00002043193,0.000002986113,0.0001177101],"genre_scores_gemma":[0.0004340924,0.9984764,0.0001427839,0.0004880511,0.0003219609,0.0000103313,0.00003447635,0.000001335804,0.0000904479],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005602534,"threshold_uncertainty_score":0.01746714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1836868500804352,"score_gpt":0.4473599236641105,"score_spread":0.2636730735836753,"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."}}