{"id":"W2019797186","doi":"10.1126/science.300.5620.701","title":"Lessons from SARS","year":2003,"lang":"en","type":"editorial","venue":"Science","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Public health; Transmission (telecommunications); Measles; Isolation (microbiology); Infectious disease (medical specialty); Quarantine; China; Medicine; Disease; Coronavirus disease 2019 (COVID-19); Economic growth; Environmental health; Virology; Political science; Vaccination; Biology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005695955,0.0001243303,0.0002280297,0.0002421322,0.0002591636,0.0001119966,0.0002618988,0.0002579865,0.0003989636],"category_scores_gemma":[0.001459596,0.00009733179,0.00007390662,0.0008079523,0.0006723061,0.0001078029,0.00009699424,0.0007710583,0.000527769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271635,"about_ca_system_score_gemma":0.002439891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000686667,"about_ca_topic_score_gemma":0.00004868218,"domain_scores_codex":[0.9975746,0.00002230251,0.0001337961,0.000492922,0.001395783,0.0003805748],"domain_scores_gemma":[0.9988233,0.0001207243,0.00004293978,0.0004145138,0.0003962895,0.0002021966],"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":[0.000007279796,0.00003138012,0.00003101395,0.000009529854,0.000006556442,0.0000184826,0.00001645137,2.418187e-7,0.006129976,0.00003383513,0.9904581,0.003257105],"study_design_scores_gemma":[0.0002403124,0.00009605401,0.0004084654,0.00008048903,0.00002205781,0.000002890457,0.00001261936,0.0000215393,0.002787062,0.0002009654,0.9960246,0.0001029406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00124538,0.0003006922,0.00007785181,0.0008084187,0.9673735,0.0001650308,0.0001191182,0.00004245993,0.02986756],"genre_scores_gemma":[0.003169023,0.000391758,0.0006036981,0.000172703,0.9689364,0.00001955048,0.0001082554,0.00002743346,0.02657117],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.005566456,"threshold_uncertainty_score":0.6783578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03921653952668765,"score_gpt":0.4222457901723493,"score_spread":0.3830292506456616,"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."}}