{"id":"W3202739357","doi":"10.1017/nie.2021.23","title":"THE GREAT COVID-19 VACCINE ROLLOUT: BEHAVIOURAL AND POLICY RESPONSES","year":2021,"lang":"en","type":"article","venue":"National Institute Economic Review","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Social distance; Vaccination; Coronavirus disease 2019 (COVID-19); Pandemic; Toll; Population; Demographic economics; Disease; Death toll; Development economics; Developing country; Distancing; Demography; Environmental health; Economics; Economic growth; Medicine; Virology; Immunology; Infectious disease (medical specialty); Sociology","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":[0.003551122,0.0002157393,0.0003745299,0.0008741986,0.0002063985,0.0008449552,0.0003052107,0.0005906119,0.004157446],"category_scores_gemma":[0.01200802,0.0001621426,0.0004234825,0.001832266,0.0003951518,0.0006459791,0.0009430957,0.0007907312,0.0003806324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279392,"about_ca_system_score_gemma":0.0007430777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401488,"about_ca_topic_score_gemma":0.02111106,"domain_scores_codex":[0.9989636,0.0005125601,0.00005854664,0.0001055786,0.0001723917,0.0001872124],"domain_scores_gemma":[0.9954056,0.001980997,0.001762432,0.0001709878,0.0004406557,0.0002393265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001220965,0.0003241459,0.7519751,0.002995509,0.001493495,0.0002724755,0.005040251,0.0115947,0.001906287,0.0179384,0.02507468,0.1801641],"study_design_scores_gemma":[0.00002211184,0.0002138601,0.9779677,0.0002650969,0.0001244283,0.00005323733,0.002393639,0.001318912,0.0002948687,0.00149889,0.0158258,0.00002151044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936389,0.008913127,0.001124458,0.01045591,0.0001337728,0.0002026716,0.00875993,0.00003462673,0.03398649],"genre_scores_gemma":[0.988032,0.005220043,0.0004687684,0.001282649,0.00006060222,0.0001003289,0.002446092,0.00000723017,0.002382214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02401488,"threshold_uncertainty_score":0.04775023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3957692946555518,"score_gpt":0.4939049165432466,"score_spread":0.09813562188769481,"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."}}