{"id":"W2048766105","doi":"10.1136/bmj.326.7396.947","title":"SARS may have peaked in Canada, Hong Kong, and Vietnam","year":2003,"lang":"en","type":"article","venue":"BMJ","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; China; Outbreak; Socioeconomics; Disease; Population; Economic growth; Transmission (telecommunications); Medicine; Geography; Demography; Environmental health; Virology; Sociology","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":[0.0006536,0.0003350993,0.0004078302,0.001235741,0.003060994,0.002377867,0.0002818843,0.000784789,0.009108725],"category_scores_gemma":[0.001217068,0.0003420861,0.0004553459,0.002570418,0.0008970581,0.0007619333,0.0007430168,0.001220632,0.0006494178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01314242,"about_ca_system_score_gemma":0.01596329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.959758,"about_ca_topic_score_gemma":0.9747143,"domain_scores_codex":[0.9992774,0.000051109,0.00003405142,0.00005051491,0.0001785939,0.0004082924],"domain_scores_gemma":[0.9985329,0.00004040713,0.0001595307,0.00003448149,0.0005865715,0.0006460645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002964124,0.00009287734,0.8943547,0.0001531939,0.0001276523,0.0009997962,0.001783886,0.0001336667,0.000342057,0.0008153347,0.0734897,0.02741068],"study_design_scores_gemma":[0.00002061974,0.00004631961,0.955335,0.0001011603,0.00002416372,0.0001683068,0.005348448,0.00003037488,0.0001344622,0.00006483405,0.038702,0.00002426885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8441322,0.009760823,0.0002691169,0.05163064,0.001915538,0.0002319888,0.01493672,0.0001027644,0.0770202],"genre_scores_gemma":[0.9108835,0.0120516,0.0004356875,0.01326278,0.0004675114,0.00008473702,0.007008546,0.00003773273,0.05576786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04024196,"threshold_uncertainty_score":0.09535539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878135203292242,"score_gpt":0.4051417659233301,"score_spread":0.2173282455941059,"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."}}