{"id":"W4309875105","doi":"10.1016/j.hpopen.2022.100086","title":"Examining priority setting in the national COVID-19 pandemic plans: A case study from countries in the WHO- South-East Asia Region (WHO-SEARO)","year":2022,"lang":"en","type":"article","venue":"Health Policy OPEN","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Public Health Ontario; McMaster University","funders":"McMaster University","keywords":"Preparedness; Pandemic; Context (archaeology); Coronavirus disease 2019 (COVID-19); Stakeholder; Sample (material); Geography; Quality (philosophy); East Asia; Business; Political science; Economic growth; Medicine; China; Economics; Public relations; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02179934,0.0003802732,0.0003308642,0.002573788,0.005662501,0.003006356,0.001784801,0.001462604,0.001359882],"category_scores_gemma":[0.04316215,0.0005368564,0.0005274374,0.003572403,0.00313792,0.002788881,0.003964023,0.002328132,0.000132448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01037715,"about_ca_system_score_gemma":0.008785526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03890242,"about_ca_topic_score_gemma":0.08057903,"domain_scores_codex":[0.9841189,0.01194992,0.0007315222,0.0004262724,0.001357815,0.001415657],"domain_scores_gemma":[0.9591584,0.02861113,0.00544102,0.00130415,0.00396841,0.001516988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001441662,0.0006284369,0.1715508,0.0007090395,0.00004956437,0.01383648,0.7653947,0.00128625,0.0007487877,0.004432832,0.00222827,0.03899059],"study_design_scores_gemma":[0.00001724365,0.000378056,0.05879597,0.0003523068,0.00002011535,0.001490986,0.9295004,0.0006613011,0.0004580994,0.0005208465,0.007770274,0.00003442285],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937307,0.0002598071,0.0009984889,0.0009880865,0.00001510902,0.000384893,0.00008018302,0.000005452757,0.003537234],"genre_scores_gemma":[0.9955858,0.000516389,0.002764643,0.0002790203,0.000008457257,0.0002131255,0.00008112693,0.000008147828,0.0005433508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03890242,"threshold_uncertainty_score":0.1152873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7150235197979566,"score_gpt":0.5518848605742971,"score_spread":0.1631386592236596,"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."}}