{"id":"W1993397183","doi":"10.3934/mbe.2006.3.205","title":"The effect of global travel on the spread of SARS","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Outbreak; Coronavirus disease 2019 (COVID-19); Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic geography; 2019-20 coronavirus outbreak; Meteorology; Regional science; China; Virology; Infectious disease (medical specialty); Disease; Biology; Medicine","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":[0.0005599545,0.000381045,0.0003060163,0.0003941728,0.0002697009,0.0007029742,0.0002254314,0.0005591194,0.00250144],"category_scores_gemma":[0.003077069,0.0001655803,0.0005051545,0.0005195948,0.0008489292,0.001170658,0.0008544644,0.0005650413,0.0001573716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562588,"about_ca_system_score_gemma":0.0003535323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051824,"about_ca_topic_score_gemma":0.009331641,"domain_scores_codex":[0.9996809,0.0001919322,0.000007784671,0.00003186109,0.00002789532,0.00005971035],"domain_scores_gemma":[0.9986715,0.0007637814,0.0003439229,0.00005802632,0.00007470207,0.0000880407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007611155,0.0001518607,0.1812446,0.0004470581,0.0007262919,0.002819543,0.001410051,0.6683114,0.009495031,0.09308238,0.002249217,0.03930153],"study_design_scores_gemma":[0.0002006605,0.001242698,0.2474938,0.0002091993,0.001085853,0.001884795,0.003590197,0.6465666,0.00292705,0.08690459,0.007739842,0.0001545854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756835,0.002579957,0.01140666,0.001788293,0.00003424604,0.00001270852,0.0001513129,0.00002659178,0.008316804],"genre_scores_gemma":[0.9974136,0.001248739,0.0004535546,0.00006443692,0.00002176258,0.000003762078,0.00002034606,0.000006546572,0.000767327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01051824,"threshold_uncertainty_score":0.02091408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07373582555556892,"score_gpt":0.352633536591805,"score_spread":0.2788977110362361,"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."}}