{"id":"W1506484293","doi":"10.1590/s0042-96862003000800014","title":"How SARS changed the world in less than six months.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; China; Socioeconomics; Medicine; Geography; Pandemic; Coronavirus disease 2019 (COVID-19); Demography; Disease; Infectious disease (medical specialty); Virology; Pathology; Archaeology","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":[0.002074072,0.001002274,0.0005881321,0.0007911115,0.002792639,0.005501147,0.0005105727,0.003665987,0.01522095],"category_scores_gemma":[0.00747541,0.0002689758,0.0006685363,0.000750037,0.002212679,0.006388717,0.002657642,0.007089316,0.007536559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442773,"about_ca_system_score_gemma":0.002515589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006372251,"about_ca_topic_score_gemma":0.009401388,"domain_scores_codex":[0.998144,0.0005366125,0.0001446574,0.0002613453,0.0005837836,0.0003295988],"domain_scores_gemma":[0.9972197,0.0002891343,0.0002747439,0.0002051214,0.001093977,0.0009173089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002477485,0.0001292525,0.004694064,0.000971441,0.000173105,0.00112678,0.002787827,0.0001350882,0.001439244,0.00986889,0.7511825,0.2272441],"study_design_scores_gemma":[0.000008192025,0.00007276309,0.003089189,0.0003794911,0.00002728007,0.0005708882,0.002100293,0.00001310921,0.0001293667,0.002518291,0.9910732,0.00001809852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009526212,0.1977775,0.001095915,0.5319468,0.2127691,0.00004869486,0.001275229,0.0004049903,0.04515547],"genre_scores_gemma":[0.07699866,0.1610339,0.002994228,0.5552302,0.05178671,0.0000741789,0.001903621,0.0003520868,0.1496264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01522095,"threshold_uncertainty_score":0.05091912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07581164322163958,"score_gpt":0.2961184713860113,"score_spread":0.2203068281643717,"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."}}