?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Assouline%2C+Dan&rft.aufirst=Dan&rft.aulast=Assouline&rft.volume=7&rft.title=Geothermal+Energy&rft.atitle=A+machine+learning+approach+for+mapping+the+very+shallow+theoretical+geothermal+potential&rft.issn=2195-9706&rft.date=25+July+2019&rft.genre=article