192b24576896b00372e4a4f3647d417475038f623763a29a4447a6f6b6917357  LICENSE-MIT.txt
f30449c1c3810d9c971f16b48c076be6446847b14d34fb3027381ce3a681c651  LICENSE-SCOPE.txt
db3cd0d7afdbbc774de80d706920d6a6eb9c809bdfaec14af76ab59f9e7a2af5  README.md
bfe8cc0c004fb010abb21c40de017288561aa212ddf05eadd7053503ee889a11  analysis.py
81e8f6d9686a03731864f41eb89b7917ec0fee8c5efbd3fae9893c12c6b65c39  blank-measurements.csv
85586136a53fff4c4cfcb7f80d2ad623d4e93959eba65cc5dbdde72eb4a066bf  expected-results.json
055507fdc6f6c6684d8332cd689a3e1b313dee0179ad7ea71cac42654ca88568  preregistration-template.json
a796cffd5cdd5f1ce04144e8b92a812000b4fa29dddd6e7135ac77427536b1f3  robustness-results.json
7c35a39991398c81f68118ea76f1a0e351a9ff7ac17ab36ce12c60060e7030a3  robustness.py
5f8057bc772822cf6643ff99fc1e0ba580a58787e87052f385342c3a0cb3403a  synthetic-demo.csv
