{"id":"W1981364103","doi":"10.3201/eid1002.031032","title":"Wresting SARS from Uncertainty","year":2004,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Outbreak; Declaration; Global health; International community; China; Severe acute respiratory syndrome; Medicine; International Health Regulations; Pandemic; Tourism; Health care; Transmission (telecommunications); Environmental health; Disease; Coronavirus disease 2019 (COVID-19); Political science; Infectious disease (medical specialty); Virology; Law; Pathology","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":[0.008416709,0.00078687,0.001010939,0.001321628,0.003882728,0.005925317,0.0008794713,0.003566554,0.01072991],"category_scores_gemma":[0.04016157,0.0003293759,0.0006405874,0.0005483332,0.005283622,0.008145578,0.007181834,0.009384337,0.003855744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348887,"about_ca_system_score_gemma":0.003140581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375427,"about_ca_topic_score_gemma":0.003014757,"domain_scores_codex":[0.9958853,0.00180021,0.0002404439,0.0003902923,0.001275624,0.000408131],"domain_scores_gemma":[0.990427,0.00407058,0.0008551846,0.0007467245,0.001946827,0.001953704],"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":[0.0002565946,0.00006422235,0.005296323,0.000374127,0.0001202262,0.003013348,0.003483875,0.0008540861,0.0006135937,0.06552201,0.6953463,0.2250554],"study_design_scores_gemma":[0.00002029285,0.00009699744,0.001141545,0.0008669335,0.00002547421,0.002285554,0.004269541,0.0003689092,0.0002945282,0.1440589,0.8465322,0.00003925676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01085295,0.06681417,0.007528897,0.8099429,0.03692983,0.00004808257,0.0003604134,0.0002334648,0.06728928],"genre_scores_gemma":[0.3281761,0.1019034,0.01070505,0.4182618,0.08367753,0.0001167274,0.0008644548,0.0003968214,0.05589803],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01072991,"threshold_uncertainty_score":0.04451233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429756846584064,"score_gpt":0.3342952571305198,"score_spread":0.3099976886646792,"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."}}