192b24576896b00372e4a4f3647d417475038f623763a29a4447a6f6b6917357  LICENSE-MIT.txt
f30449c1c3810d9c971f16b48c076be6446847b14d34fb3027381ce3a681c651  LICENSE-SCOPE.txt
4fa8dbfbb963ca9e4e63553ddfd3cc2cd9472777577c8c9d79b8e5cab483b9cc  README.md
d8778c6765f0b961bc28faa4b0146da75abc2c09d2a1ab1f671fa18c36136b76  analysis.py
a86634a706b77954c5eea74a6a471ab8cc75bd21bc8fd04643d4e33a2a0f3b21  blank-measurements.csv
4ddf95af5da9a7994f72ee484095fcc54179078d4a94d16714a77857098d326f  expected-results.json
61f9105668424aeb5c286b841f1ff9b510e2752506875c18dfb21940986bf24f  preregistration-template.json
9289392f60f711e0453a2fb3b71e0f288b7291825b4e73952dc2b1c078a2d80b  robustness-results.json
73111ed811c486cd5f51bdd408552674d79e4b247d38817626d49f18d14325bc  robustness.py
baf915f291ebd5ebbeb18cba4f3858f5c54da134e50d1fb484d68c0391d6e6ee  synthetic-demo.csv
