{"id":"W3193970765","doi":"10.1007/s00181-021-02117-0","title":"Economic impact payment, human mobility and COVID-19 mitigation in the USA","year":2021,"lang":"en","type":"article","venue":"Empirical Economics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Payment; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Business; Natural resource economics; Finance; Virology; Medicine; Outbreak; 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":[0.001983695,0.0001682493,0.0002274412,0.001335105,0.0006216259,0.0013533,0.0004644545,0.000791668,0.004263519],"category_scores_gemma":[0.01022551,0.00009910395,0.0003645652,0.00308974,0.0006223313,0.0007209672,0.0008352689,0.001214855,0.0001961581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112966,"about_ca_system_score_gemma":0.002599057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08252723,"about_ca_topic_score_gemma":0.08650253,"domain_scores_codex":[0.9988318,0.0005931988,0.00005450986,0.00007413716,0.0002001358,0.0002461961],"domain_scores_gemma":[0.9930924,0.003242431,0.002115944,0.0002303361,0.0007667551,0.0005521103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007815177,0.0006708646,0.8209324,0.0002987991,0.0005597751,0.0003511265,0.0006738186,0.008691218,0.0001779904,0.06835259,0.04261198,0.05589785],"study_design_scores_gemma":[0.00008701814,0.0003511614,0.9114991,0.0004924202,0.0005057145,0.0001914115,0.003768664,0.0133086,0.0005072634,0.02247768,0.04675863,0.00005242641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142674,0.008286936,0.003233897,0.03706259,0.0004152886,0.0000584396,0.006860127,0.00003156027,0.0297838],"genre_scores_gemma":[0.9929358,0.002562456,0.0002574045,0.0007571205,0.0001438846,0.00002000111,0.0009445193,0.00000419416,0.002374509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08252723,"threshold_uncertainty_score":0.1640937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3213937582631765,"score_gpt":0.4956273056479698,"score_spread":0.1742335473847933,"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."}}