{"id":"W3140047415","doi":"10.3390/microorganisms9040742","title":"Global Landscape Review of Serotype-Specific Invasive Pneumococcal Disease Surveillance among Countries Using PCV10/13: The Pneumococcal Serotype Replacement and Distribution Estimation (PSERENADE) Project","year":2021,"lang":"en","type":"article","venue":"Microorganisms","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; University Health Network; Alberta Health Services; Université Laval","funders":"National Center for Advancing Translational Sciences; Pan American Health Organization; European Centre for Disease Prevention and Control; Bill and Melinda Gates Foundation; Johns Hopkins University; World Health Organization","keywords":"Pneumococcal disease; Serotype; Estimation; Schedule; Medicine; Disease surveillance; Environmental health; Geography; Disease; Biology; Streptococcus pneumoniae; Virology; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003375646,0.000240718,0.0004238233,0.00003242426,0.0002835927,0.00005837847,0.00008947049,0.0001000253,0.0001197719],"category_scores_gemma":[0.0002823496,0.000177433,0.0001075801,0.0005486677,0.0002278906,0.0001188379,0.0001078177,0.0001763443,0.00001291951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926366,"about_ca_system_score_gemma":0.0006773511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004325886,"about_ca_topic_score_gemma":0.0001280804,"domain_scores_codex":[0.9983405,0.0002119789,0.0004810354,0.0004022105,0.0002927237,0.0002715737],"domain_scores_gemma":[0.9986588,0.00008954071,0.0002333712,0.0004589401,0.0004139391,0.0001454519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000195915,0.0002362503,0.8371639,0.004318007,0.0001472838,0.000102957,0.0001649621,0.00006449404,0.1553825,0.0002357213,0.001592218,0.0003958165],"study_design_scores_gemma":[0.001059347,0.0002059571,0.970651,0.003433605,0.0002965417,0.0004205791,0.0001897806,0.0003131031,0.01366158,0.00005465449,0.009412261,0.0003016065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868909,0.008726013,0.0007439309,0.001873103,0.0002044378,0.00108125,0.0003396169,0.00005756587,0.00008318175],"genre_scores_gemma":[0.9930738,0.005681401,0.00007221749,0.0004692815,0.0001035969,0.00003786164,0.0004776556,0.00002241098,0.00006177175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1417209,"threshold_uncertainty_score":0.7235507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539149708003482,"score_gpt":0.2763743936251942,"score_spread":0.2609828965451594,"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."}}