{"content":[{"text":"The set of known-good patent-to-article citations is called bodytextknowngood.tsv and is tab-separated. Each record is a true patent-to- \n article citations that was verified by at least two research assistants.","bbox":{"left":0.090909,"top":0.118442,"width":0.815021,"height":0.04426300000000001}},{"text":"Contents of bodytextknowngood.tsv.","bbox":{"left":0.390215,"top":0.176678,"width":0.21972199999999997,"height":0.02171400000000001}},{"text":"Variable \n patent","bbox":{"left":0.09803,"top":0.212952,"width":0.050331000000000015,"height":0.045243000000000005}},{"text":"Type \n string","bbox":{"left":0.188662,"top":0.212952,"width":0.03451499999999999,"height":0.045243000000000005}},{"text":"Notes \n Patent in which the in-text reference was found. Each reference","bbox":{"left":0.256843,"top":0.212952,"width":0.38452000000000003,"height":0.045243000000000005}},{"text":"magid \n doi \n pmid","bbox":{"left":0.09803,"top":0.291383,"width":0.037878999999999996,"height":0.07764599999999999}},{"text":"numeric \n string \n numeric","bbox":{"left":0.188662,"top":0.291383,"width":0.049573000000000006,"height":0.07764599999999999}},{"text":"Unique identifier for the paper cited in the Microsoft Academic Graph \n Digital Object Identifier as provided by Microsoft, if available \n PubMed ID as provided by Microsoft, if available","bbox":{"left":0.256843,"top":0.291383,"width":0.42570500000000006,"height":0.07764599999999999}},{"text":"Contents of intlpatfamily.tsv.","bbox":{"left":0.412487,"top":0.410844,"width":0.17517699999999997,"height":0.02171400000000001}},{"text":"Variable \n patent \n Family","bbox":{"left":0.09803,"top":0.447315,"width":0.050331000000000015,"height":0.07602799999999998}},{"text":"Type \n string \n numeric","bbox":{"left":0.259722,"top":0.447315,"width":0.04957299999999998,"height":0.07602799999999998}},{"text":"Notes \n All non-USPTO patents available in DOCDB with a family ID are included. \n Patent family number.","bbox":{"left":0.360518,"top":0.447315,"width":0.462469,"height":0.07602799999999998}},{"text":"Files for Microsoft Academic Graph metadata","bbox":{"left":0.090909,"top":0.624798,"width":0.297682,"height":0.02171400000000001}},{"text":"Also available is a series of files with metadata regarding not just the references reported in Appendix 1 but all papers in the 1 January \n 2020 release of the Microsoft Academic Graph (MAG). They are compressed using the ‘zip’ utility under Unix CentOS5. Reposting of \n these data is facilitated by the ODC-By license (https://opendatacommons.org/licenses/by/1-0/index.html), under which MAG is \n provided and under which these data are also provided. Those using these data should cite the following paper: Sinha, Arnab, Zhihong \n Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service \n (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New \n York, NY, USA, 243-246.","bbox":{"left":0.090909,"top":0.683034,"width":0.814636,"height":0.157057}}],"images_bbox":[],"images_bbox_not_text_overlap":[]}