PMC:7796058 / 5945-6178 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"61","span":{"begin":117,"end":125},"obj":"Disease"}],"attributes":[{"id":"A61","pred":"tao:has_database_id","subj":"61","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"gy space. Our paper also argues that the integration of the IndoorGML and SensorThings API is critical for effective COVID-19 risk analysis and visualization. To the best of our knowledge, this paper is the first real-world implement"}

{"project":"LitCovid-sentences","denotations":[{"id":"T34","span":{"begin":10,"end":158},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"gy space. Our paper also argues that the integration of the IndoorGML and SensorThings API is critical for effective COVID-19 risk analysis and visualization. To the best of our knowledge, this paper is the first real-world implement"}