{"id":"W2504763731","doi":"10.1093/med/9780190209247.003.0002","title":"Did Advances in Global Surveillance and Notification Systems Make a Difference in the 2009 H1N1 Pandemic?","year":2015,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Timeline; Outbreak; Public health; H1n1 pandemic; Environmental health; Geography; Medicine; Coronavirus disease 2019 (COVID-19); Virology; Political science; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01061735,0.0005214988,0.0004715678,0.001195758,0.0007655706,0.005524125,0.0008713706,0.001394716,0.003488914],"category_scores_gemma":[0.01362435,0.0002793904,0.0007797439,0.0009354148,0.001736339,0.008498998,0.001350477,0.002922059,0.0005182461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005555262,"about_ca_system_score_gemma":0.004654774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073267,"about_ca_topic_score_gemma":0.009392173,"domain_scores_codex":[0.9966561,0.001697443,0.0001432914,0.000269388,0.0007993232,0.0004344413],"domain_scores_gemma":[0.9911314,0.003981273,0.0008803739,0.0003958469,0.003152139,0.0004590043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006086981,0.000243705,0.07634077,0.002240779,0.0003653195,0.000315592,0.004883795,0.008732679,0.001784525,0.2343779,0.06713373,0.6029726],"study_design_scores_gemma":[0.000137659,0.001142858,0.1065945,0.009263843,0.0005207365,0.0006709839,0.02735863,0.02145748,0.005500743,0.1709198,0.6561233,0.0003095104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1719445,0.1301077,0.02939692,0.4931386,0.01359018,0.0003547426,0.001184404,0.0003277118,0.1599552],"genre_scores_gemma":[0.850784,0.08929862,0.01975009,0.02428048,0.004230418,0.0001427651,0.0004299567,0.0001353794,0.01094835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01073267,"threshold_uncertainty_score":0.05615056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369634234942303,"score_gpt":0.2541968733737782,"score_spread":0.2205005310243551,"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."}}