{"id":"W3003540327","doi":"10.1038/s41564-019-0651-y","title":"Designing ecologically optimized pneumococcal vaccines using population genomics","year":2020,"lang":"en","type":"article","venue":"Nature Microbiology","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Wellcome Trust","keywords":"Herd immunity; Carriage; Vaccination; Population; Streptococcus pneumoniae; Pneumococcal infections; Serotype; Biology; Medicine; Immunology; Virology; Microbiology; Antibiotics; 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":[0.0006147405,0.0004919511,0.0006152264,0.0002962744,0.0003069346,0.0009980419,0.0005915023,0.0005870465,0.002031589],"category_scores_gemma":[0.001188698,0.0002917492,0.0003611424,0.0002718623,0.0004516616,0.0006747668,0.0007675619,0.001519987,0.0005646363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711768,"about_ca_system_score_gemma":0.0006528489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005474811,"about_ca_topic_score_gemma":0.001473472,"domain_scores_codex":[0.9997124,0.00007383418,0.00001225702,0.00006163808,0.00006982005,0.00006999399],"domain_scores_gemma":[0.9998403,0.00006393217,0.00003272472,0.00001419735,0.00002660118,0.00002219183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002600446,0.0005681781,0.004573748,0.0002271026,0.00007113238,0.0001865745,0.0001280114,0.07582185,0.8287361,0.01980919,0.001387098,0.06823097],"study_design_scores_gemma":[0.0002723499,0.003528201,0.005733189,0.00009334944,0.0002485343,0.0006804422,0.0008518012,0.3076048,0.6161126,0.02531926,0.03945643,0.00009898916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369244,0.002398901,0.2419527,0.001491867,0.0003700927,0.0003496543,0.0005201342,0.000828308,0.01516403],"genre_scores_gemma":[0.9172385,0.00117674,0.07870733,0.0004303988,0.00004659611,0.0001578544,0.0003853616,0.0001108274,0.001746483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002031589,"threshold_uncertainty_score":0.00679636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226225235755161,"score_gpt":0.2848921377945393,"score_spread":0.2622696142190232,"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."}}