{"id":"W4313421432","doi":"10.1002/hsr2.1017","title":"A perspective on impeding the COVID‐19 pandemic: Lessons from Mongolia's comprehensive countermeasure","year":2022,"lang":"en","type":"article","venue":"Health Science Reports","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Countermeasure; Perspective (graphical); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Virology; Geography; Computer science; Engineering; Medicine; Outbreak; Artificial intelligence; Aerospace engineering","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":[0.006702362,0.0007911077,0.0007251101,0.0009561499,0.007326513,0.005729923,0.002108945,0.01297298,0.009920556],"category_scores_gemma":[0.004549306,0.0002834617,0.0007834395,0.0005988371,0.006335982,0.006788129,0.004945252,0.01073725,0.001071383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00739763,"about_ca_system_score_gemma":0.02584369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06356225,"about_ca_topic_score_gemma":0.08854304,"domain_scores_codex":[0.9972205,0.001153193,0.00008676436,0.0001633698,0.0002106984,0.001165502],"domain_scores_gemma":[0.995902,0.0009883411,0.0002182381,0.0001494575,0.000783383,0.001958592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002565398,0.0002997164,0.008940049,0.002697366,0.0002070563,0.001572549,0.03457834,0.0007533124,0.001324953,0.1872085,0.5658326,0.196329],"study_design_scores_gemma":[0.00005995157,0.0003582848,0.007652085,0.00380343,0.00008535508,0.0004915271,0.04117081,0.0003369918,0.0004438761,0.04086438,0.9046283,0.0001050817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008062882,0.1410659,0.0004950389,0.8260909,0.007829607,0.00003244014,0.0001430135,0.00004574139,0.01623446],"genre_scores_gemma":[0.2922255,0.125017,0.002338964,0.5526546,0.005979482,0.0001153554,0.0003095176,0.00007821308,0.02128151],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06356225,"threshold_uncertainty_score":0.1263846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1547801652606816,"score_gpt":0.4512664595713631,"score_spread":0.2964862943106815,"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."}}