{"id":"W4306376851","doi":"10.3390/ijerph192013263","title":"The Economic Impact of the SARS Epidemic with Related Interventions in China","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"China; Economic impact analysis; Government (linguistics); Investment (military); Psychological intervention; Development economics; Economic cost; Economics; Countermeasure; Outbreak; Economic sector; Business; Economic growth; Economic policy; Economy; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007722132,0.0002876634,0.0002838084,0.0008458682,0.0003919158,0.0008433564,0.0002919448,0.0004662608,0.001364031],"category_scores_gemma":[0.001827785,0.0001035404,0.0004672044,0.0008254478,0.0004266943,0.0005410655,0.0006479019,0.0004759291,0.00005203021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003869571,"about_ca_system_score_gemma":0.002959908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08632509,"about_ca_topic_score_gemma":0.06721599,"domain_scores_codex":[0.9996974,0.00007481662,0.0000147251,0.00002363455,0.00005642738,0.0001329783],"domain_scores_gemma":[0.9994141,0.0001484562,0.0002157857,0.00002560253,0.00009395916,0.0001020533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005489542,0.0006063876,0.7571687,0.0002242777,0.0003467995,0.003174888,0.0004198214,0.1820762,0.001958942,0.01763999,0.003344983,0.03248997],"study_design_scores_gemma":[0.00006942234,0.0002692739,0.8477606,0.00005302347,0.0001669703,0.0001180684,0.00108178,0.1414862,0.000902287,0.005446437,0.002604213,0.00004167635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957354,0.0005410776,0.0002449844,0.001238475,0.00001704061,0.00001410468,0.0001562131,0.000006207601,0.002046346],"genre_scores_gemma":[0.9990764,0.000326052,0.00005228406,0.00005095366,0.00001022899,0.000003543184,0.00006790106,7.470392e-7,0.0004119081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08632509,"threshold_uncertainty_score":0.1716453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074213504350938,"score_gpt":0.3921048204661334,"score_spread":0.2846834700310396,"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."}}