{"id":"W4281287186","doi":"10.1136/bmjgh-2022-isph.30","title":"165:oral The role of priority setting in pandemic preparedness and response: a comparative analysis of COVID-19 pandemic plans in 12 countries in the Eastern Mediterranean region","year":2022,"lang":"en","type":"article","venue":"Abstracts","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pandemic; Refugee; Preparedness; Context (archaeology); Geography; Internally displaced person; Political science; Environmental health; Economic growth; Population; Business; Medicine; Development economics; Coronavirus disease 2019 (COVID-19); Economics; Disease; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.005261671,0.00009950856,0.0005219841,0.0004512449,0.00008428079,0.00001525433,0.0002333258,0.00007350316,0.000008678153],"category_scores_gemma":[0.0001820281,0.00006918791,0.00005438702,0.0006025059,0.00009700566,0.0001030831,0.00005898859,0.0003187406,6.657949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979235,"about_ca_system_score_gemma":0.0001604891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03860016,"about_ca_topic_score_gemma":0.05656137,"domain_scores_codex":[0.9981655,0.0003279553,0.0009716494,0.0002357108,0.00009470886,0.0002045099],"domain_scores_gemma":[0.9986192,0.0004680315,0.0006203705,0.0002374517,0.00001389274,0.00004103197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002621116,0.00004070371,0.8796076,0.00004431469,0.00003682573,0.000007844876,0.11677,0.002658622,0.000007521431,0.0002237125,0.000005174827,0.0003355596],"study_design_scores_gemma":[0.0005171367,0.0000655882,0.9523161,0.00002398444,0.000007397505,0.00001438153,0.03936159,0.003894837,0.00000202181,0.0008115021,0.002901852,0.00008358415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997451,0.001151163,0.000004971679,0.000484916,0.00005938485,0.00038271,0.0001994347,0.000005125018,0.0002612998],"genre_scores_gemma":[0.9996587,0.00009918871,0.000002845414,0.0001411326,0.00001237191,0.00004397079,0.00001935448,0.000004353414,0.00001809526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0774084,"threshold_uncertainty_score":0.9678019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038018073636498,"score_gpt":0.3283186637804136,"score_spread":0.2245168564167638,"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."}}