{"id":"W4389823444","doi":"10.1016/j.healthpol.2023.104961","title":"A global comparative analysis of the criteria and equity considerations included in eighty-six national COVID-19 plans","year":2023,"lang":"en","type":"article","venue":"Health Policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research; St. Michael's Hospital; McMaster University","funders":"McMaster University","keywords":"Equity (law); Pandemic; Health equity; Actuarial science; Coronavirus disease 2019 (COVID-19); Population; Political science; Medicine; Public economics; Business; Economic growth; Psychology; Disease; Environmental health; Health care; Economics; Infectious disease (medical specialty)","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":[0.01635195,0.0003629864,0.0006607245,0.005763295,0.002318291,0.004449958,0.001031284,0.001169275,0.006687115],"category_scores_gemma":[0.02408579,0.0004877587,0.0008827018,0.009122667,0.002223426,0.002915969,0.004438038,0.001743024,0.0002517841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009395612,"about_ca_system_score_gemma":0.008211782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03759075,"about_ca_topic_score_gemma":0.0756001,"domain_scores_codex":[0.9895021,0.004979922,0.0003062384,0.0004338051,0.003094439,0.001683576],"domain_scores_gemma":[0.9871178,0.007805847,0.001044036,0.0007502558,0.002385942,0.0008961511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002458408,0.0006431382,0.2422947,0.0009283239,0.0006340111,0.0006334457,0.01339153,0.01606396,0.001186782,0.4844673,0.02109265,0.2162057],"study_design_scores_gemma":[0.0004059691,0.001086816,0.8706384,0.0006559265,0.0008837444,0.0003375913,0.02103928,0.005872954,0.001595685,0.03110652,0.06627446,0.0001025462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887786,0.002805345,0.001672665,0.003052101,0.00004130114,0.0002919995,0.002207546,0.00003778457,0.1011126],"genre_scores_gemma":[0.9945596,0.0004892987,0.001210854,0.0003166028,0.00001285932,0.000132837,0.0007153026,0.00001663841,0.002546129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03759075,"threshold_uncertainty_score":0.08647841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7029584515184139,"score_gpt":0.6216300446180844,"score_spread":0.0813284069003295,"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."}}