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ddefb60 | 1 | {"application": "software-mentions", "version": "0.9.0-SNAPSHOT", "revision": "54efbc6", "date": "2026-10-14T14:41+0000", "md5": "6B79720A992062C3437DF9DA80B40AA7", "biblio": {"title": "Analysing Spatial Heterogeneity using Optimal Transport", "authors": "Joseph Touzet, Xavier Bacon"}, "mentions": [{"type": "software", "software-type": "environment", "software-name": {"rawForm": "Pypi", "normalizedForm": "Pypi", "offsetStart": 9, "offsetEnd": 13}, "context": "; and on Pypi and can thus simply be installed by using the command : p i p i n s t a l l o t e r o g e n e i t y This library uses the python library POT: Python Optimal Transport as a backend to solve the optimal transport problem.", "mentionContextAttributes": {"used": {"value": false, "score": 0.09495782852172852}, "created": {"value": false, "score": 5.125999450683594e-06}, "shared": {"value": false, "score": 3.814697265625e-06}}, "documentContextAttributes": {"used": {"value": false, "score": 0.09495782852172852}, "created": {"value": false, "score": 5.125999450683594e-06}, "shared": {"value": false, "score": 3.814697265625e-06}}}, {"type": "software", "software-type": "implicit", "software-name": {"rawForm": "library", "normalizedForm": "library", "offsetStart": 39, "offsetEnd": 46}, "language": {"rawForm": "python", "normalizedForm": "python", "offsetStart": 32, "offsetEnd": 38}, "context": "The simulations are done with a python library implementing the indices we defined in this paper which we developed, and is available on Github : github.com/jolatechno/ot-heterogeneity", "mentionContextAttributes": {"used": {"value": true, "score": 0.9893715381622314}, "created": {"value": true, "score": 0.6110603213310242}, "shared": {"value": true, "score": 0.8017581105232239}}, "documentContextAttributes": {"used": {"value": true, "score": 0.9893715381622314}, "created": {"value": true, "score": 0.6110603213310242}, "shared": {"value": true, "score": 0.8017581105232239}}}, {"type": "software", "software-type": "environment", "software-name": {"rawForm": "python", "normalizedForm": "python", "offsetStart": 136, "offsetEnd": 142}, "context": "; and on Pypi and can thus simply be installed by using the command : p i p i n s t a l l o t e r o g e n e i t y This library uses the python library POT: Python Optimal Transport as a backend to solve the optimal transport problem.", "mentionContextAttributes": {"used": {"value": false, "score": 0.09495782852172852}, "created": {"value": false, "score": 5.125999450683594e-06}, "shared": {"value": false, "score": 3.814697265625e-06}}, "documentContextAttributes": {"used": {"value": false, "score": 0.09495782852172852}, "created": {"value": false, "score": 5.125999450683594e-06}, "shared": {"value": false, "score": 3.814697265625e-06}}}, {"type": "software", "software-type": "software", "software-name": {"rawForm": "POT", "normalizedForm": "POT", "offsetStart": 151, "offsetEnd": 154}, "context": "; and on Pypi and can thus simply be installed by using the command : p i p i n s t a l l o t e r o g e n e i t y This library uses the python library POT: Python Optimal Transport as a backend to solve the optimal transport problem.", "mentionContextAttributes": {"used": {"value": false, "score": 0.09495782852172852}, "created": {"value": false, "score": 5.125999450683594e-06}, "shared": {"value": false, "score": 3.814697265625e-06}}, "documentContextAttributes": {"used": {"value": false, "score": 0.09495782852172852}, "created": {"value": false, "score": 5.125999450683594e-06}, "shared": {"value": false, "score": 3.814697265625e-06}}}], "references": [], "runtime": 5280, "id": "63be14bc6e89b481dd08a527006d03b285a56818", "metadata": {"id": "63be14bc6e89b481dd08a527006d03b285a56818"}, "original_file_path": "../../projects/softcite-analysis-hal/data/grobid/xml/AnalysingSpatialHeterogeneityusingOptimalTransport.grobid.tei.xml", "file_name": "AnalysingSpatialHeterogeneityusingOptimalTransport.grobid.tei.xml"} |