{"id":"W3043329291","doi":"10.35502/jcswb.132","title":"Mobilizing the police from the top down as public health partners in combatting COVID-19: A perspective from Vietnam","year":2020,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RMIT University; Australian National University; London School of Hygiene and Tropical Medicine","keywords":"Coronavirus disease 2019 (COVID-19); Perspective (graphical); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Medicine; Virology; Nursing; Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005194275,0.0001652627,0.0006169906,0.00009569161,0.001285296,0.000165391,0.0006195231,0.0001069553,0.00006788949],"category_scores_gemma":[0.0009451311,0.0001042074,0.0001547812,0.0003543842,0.0001249842,0.0003372457,0.0002102029,0.001747219,0.00001384525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657228,"about_ca_system_score_gemma":0.0003165495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1946874,"about_ca_topic_score_gemma":0.004122541,"domain_scores_codex":[0.9973249,0.0008495631,0.001232044,0.0001445396,0.0001001291,0.0003487581],"domain_scores_gemma":[0.9970121,0.001060405,0.001058205,0.000362834,0.00007115725,0.0004352726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001734779,0.0001415711,0.2461691,0.00009580865,0.0002801114,0.000008407255,0.6544586,0.0005868291,0.000005605712,0.0884745,0.000417258,0.009188646],"study_design_scores_gemma":[0.002300949,0.0003320249,0.4184448,0.0002342939,0.000009374774,0.00003338288,0.3433078,0.001036309,0.000002166796,0.06806716,0.1658978,0.0003338819],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6915327,0.004260731,0.001313624,0.296765,0.0002212919,0.0002644222,0.00003322313,0.00001371276,0.005595277],"genre_scores_gemma":[0.9703836,0.001642374,0.00006539706,0.02753497,0.0003399213,0.000002380864,0.000006390174,0.00001553603,0.000009433687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3111508,"threshold_uncertainty_score":0.9885585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07454214053013122,"score_gpt":0.3235989535345756,"score_spread":0.2490568130044443,"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."}}