{"id":"W3036188798","doi":"10.1038/s41562-020-0909-7","title":"COVID-19 Government Response Event Dataset (CoronaNet v.1.0)","year":2020,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":479,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Coronavirus disease 2019 (COVID-19); Government (linguistics); Enforcement; Pandemic; Public policy; Bayesian probability; 2019-20 coronavirus outbreak; Business; Public economics; Political science; Economics; Computer science; Economic growth; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2752499540378586,"score_gpt":0.4749697401485214,"score_spread":0.1997197861106628,"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."}}