{"id":"W4387971952","doi":"10.56367/oag-040-11093","title":"Post-pandemic MERS-CoV still presents risks","year":2023,"lang":"en","type":"article","venue":"Open Access Government","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Middle East respiratory syndrome coronavirus; Pandemic; Case fatality rate; Coronavirus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Middle East respiratory syndrome; 2019-20 coronavirus outbreak; Infectious disease (medical specialty); Medicine; Disease; Epidemiology; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001050987,0.0002371796,0.0004657564,0.0001187848,0.0001308777,0.001009332,0.0025789,0.0001190476,0.00154639],"category_scores_gemma":[0.0006959848,0.0002636583,0.0001070619,0.0005018877,0.00004364569,0.00174694,0.003037435,0.0002162243,0.004789129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009768506,"about_ca_system_score_gemma":0.00008001455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00646858,"about_ca_topic_score_gemma":0.0002257352,"domain_scores_codex":[0.9978275,0.00002704228,0.0006347829,0.0006921854,0.0002326012,0.000585868],"domain_scores_gemma":[0.9984203,0.0001755835,0.0004890563,0.0007247495,0.00002528141,0.0001650142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000141253,0.0001722279,0.930785,0.00007156904,0.0002094467,0.00003391768,0.0007042204,0.0004271736,0.0006171833,0.006347797,0.05364062,0.006849619],"study_design_scores_gemma":[0.001991073,0.00008853866,0.5556552,0.00004189591,0.00001864392,0.000003504129,0.0001906059,0.002810584,0.001376135,0.007755826,0.4294345,0.0006335021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8743373,0.0003012292,0.0003673883,0.002630053,0.001076507,0.001231897,0.001551743,0.0001479838,0.1183559],"genre_scores_gemma":[0.9804839,0.000405958,0.00005598924,0.0033703,0.0001055662,0.0001272241,0.00003377866,0.0000517741,0.01536553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757938,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2304933576236429,"score_gpt":0.407875724796149,"score_spread":0.1773823671725061,"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."}}