{"id":"W3126577929","doi":"10.1257/pandp.20211103","title":"Preparing for a Pandemic: Accelerating Vaccine Availability","year":2021,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Procurement; Pandemic; Portfolio; Incentive; Business; Population; Scale (ratio); Coronavirus disease 2019 (COVID-19); Economics; Finance; Environmental health; Marketing; Disease; Medicine; Microeconomics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002350301,0.0003872245,0.000451484,0.0004174546,0.0004408978,0.002407342,0.0005361036,0.001625436,0.007020965],"category_scores_gemma":[0.01054865,0.0003167261,0.000445505,0.0004520273,0.0009855522,0.003912746,0.001241382,0.001957679,0.000376816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334083,"about_ca_system_score_gemma":0.001897318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003792738,"about_ca_topic_score_gemma":0.002772157,"domain_scores_codex":[0.9992879,0.0003696908,0.00001739931,0.0000831122,0.00006458713,0.0001773167],"domain_scores_gemma":[0.9973474,0.001520939,0.0005519066,0.00009790263,0.0001949763,0.000286935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005565982,0.000285093,0.02899576,0.0005651963,0.0001397579,0.0006227737,0.0003843259,0.3542953,0.003636799,0.4968501,0.02176318,0.09190504],"study_design_scores_gemma":[0.0002723895,0.0007443272,0.02662937,0.0003214698,0.0002118802,0.0004172407,0.001839563,0.2582414,0.002270418,0.6796011,0.0293483,0.0001025418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7330223,0.007133019,0.09049879,0.06062812,0.0006692737,0.0001619247,0.000745784,0.0002282141,0.1069125],"genre_scores_gemma":[0.9895756,0.001695798,0.005174058,0.000703425,0.0001381694,0.00002834257,0.00005265248,0.0000142834,0.002617724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007020965,"threshold_uncertainty_score":0.02348739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707650754705978,"score_gpt":0.2689915378371964,"score_spread":0.2119150302901366,"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."}}