{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T15:41:39Z","timestamp":1657899699543},"reference-count":0,"publisher":"Elsevier BV","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SSRN Journal"],"DOI":"10.2139\/ssrn.4161345","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T15:11:29Z","timestamp":1657897889000},"source":"Crossref","is-referenced-by-count":0,"title":["Exploratory Analysis of Light-Duty Vehicles Emissions Through Biplots and Machine Learning"],"prefix":"10.2139","author":[{"given":"Elisabete Dos Santos","family":"Ferreira","sequence":"first","affiliation":[]},{"given":"Eloisa","family":"Macedo","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Fernandes","sequence":"additional","affiliation":[]},{"given":"Margarida C.","family":"Coelho","sequence":"additional","affiliation":[]}],"member":"78","container-title":["SSRN Electronic Journal"],"original-title":[],"language":"en","deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T15:12:11Z","timestamp":1657897931000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=4161345"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2139\/ssrn.4161345","relation":{},"ISSN":["1556-5068"],"issn-type":[{"value":"1556-5068","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022]]},"published":{"date-parts":[[2022]]}}}