{"id":"W4299806136","doi":"10.1111/nyas.14898","title":"Lessons from the pandemic: Responding to emerging zoonotic viral diseases—a Keystone Symposia report","year":2022,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"National Institute of Allergy and Infectious Diseases; Canadian Medical Association; Robert Koch Institut; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Bundesministerium für Gesundheit; Public Health Agency; National Institutes of Health; Public Health Agency of Canada; World Health Organization","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Government (linguistics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ebola virus; 2019-20 coronavirus outbreak; Political science; Outbreak; Virology; Business; Medicine; Infectious disease (medical specialty); Disease","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":[0.01045839,0.001422781,0.0004332113,0.0009275555,0.003108586,0.009304961,0.001711171,0.01001544,0.01504246],"category_scores_gemma":[0.009862159,0.0007173988,0.001070981,0.0005838879,0.001973747,0.01171936,0.008670808,0.01438666,0.005161579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441661,"about_ca_system_score_gemma":0.01148039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912349,"about_ca_topic_score_gemma":0.003478796,"domain_scores_codex":[0.9969822,0.0009656857,0.0002009079,0.0002318101,0.0006351152,0.0009843257],"domain_scores_gemma":[0.9913881,0.001566518,0.0003474245,0.000246289,0.001326495,0.00512512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005999556,0.00008823412,0.0006421517,0.0003590302,0.00001743774,0.0003216117,0.0008421234,0.0001190756,0.0008570465,0.005158624,0.962769,0.02876575],"study_design_scores_gemma":[0.00002628978,0.0000910223,0.001348585,0.0004402664,0.00001717915,0.0002165212,0.002196465,0.0001090012,0.0003796435,0.003634249,0.9915154,0.00002531892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.002409046,0.03853854,0.0008581714,0.8257364,0.120029,0.0000878096,0.0001779589,0.0001200759,0.01204303],"genre_scores_gemma":[0.07921096,0.1399699,0.005908241,0.5177978,0.1574308,0.0004396437,0.001209113,0.00031496,0.09771842],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01504246,"threshold_uncertainty_score":0.05530995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141287318104381,"score_gpt":0.4062504681291484,"score_spread":0.2921217363187103,"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."}}