{"id":"W2415323431","doi":"10.47102/annals-acadmedsg.v32n5sps4","title":"SARS in Singapore: Looking Back, Looking Forward","year":2003,"lang":"en","type":"article","venue":"Annals of the Academy of Medicine Singapore","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","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":[0.001441668,0.0004118923,0.000551124,0.0006407407,0.0007275635,0.001945317,0.0005080153,0.002872288,0.009042783],"category_scores_gemma":[0.004460631,0.0002968863,0.0005460477,0.001201431,0.000520688,0.004147795,0.001326096,0.002268797,0.002942399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009576835,"about_ca_system_score_gemma":0.002118191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227953,"about_ca_topic_score_gemma":0.01636924,"domain_scores_codex":[0.9988959,0.0004517565,0.0002077268,0.0000628933,0.0002255552,0.0001562222],"domain_scores_gemma":[0.9979265,0.0001640628,0.0004664382,0.00008711807,0.0006197421,0.00073607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004132488,0.0003740673,0.4517373,0.003014481,0.0002527745,0.02048784,0.004804233,0.0001587692,0.001293278,0.001743956,0.2909478,0.2247723],"study_design_scores_gemma":[0.0001620675,0.001819238,0.5325594,0.009963553,0.0003776557,0.04971121,0.03167062,0.0004116899,0.0006244556,0.003597897,0.3689019,0.00020025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2163551,0.1254765,0.0005679217,0.6103761,0.01559264,0.0001362264,0.001776155,0.0001402432,0.02957919],"genre_scores_gemma":[0.6108335,0.2372038,0.0016037,0.1114023,0.02042089,0.0001212855,0.002193965,0.00007791517,0.0161426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227953,"threshold_uncertainty_score":0.03025109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3355480072542679,"score_gpt":0.4654979882793883,"score_spread":0.1299499810251204,"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."}}