Receipt for run 1: the Lab's permanent record of what it did
Does the brain's wiring predict where Parkinson's spreads?
Does the brain's wiring predict where Parkinson's spreads?
- Measured in
- match score, where 1 is perfect
- Paper says
- 0.696
- Counts if
- 0.691 to 0.701
- Lab got
- 0.69605221
Paper said 0.696. We got 0.69605221.
The code and data produced the same result. That doesn't prove the study's method is right.
Check this yourself
You don't have to trust us or the . With Docker and Node installed, this retraces the claim on your own computer and compares the number:
git clone <this repository> && cd rerun && pnpm install && pnpm sandbox:build pnpm verify-claim 24
How much evidence is behind this?
Each step is a tougher test. Only the first one decides who wins the market.
- 1. ✓
The Lab's retrace of the code and data named in the claim
The Lab retraced the code and data and got a number inside the claim's range. YES wins.
- 2. –
Stress test: does the number depend on luck?
Fetching the extra runs…
- 3. –
Rebuilt from the description (experimental)
Fetching the AI's rebuild…
Coming next: a data-leakage check, for the same rows in training and test data, and a maths check on the statistics a paper reports. Neither has run on this claim.
Even all three steps can't prove the science is true. They show how well this result stands up to checking.
Verified
Your browser just re-checked these itself, so you don't have to trust this site.
Checking…
The write-up
The write-up isn't available right now. Its fingerprint is below.
Setup changes, and who made them
- Human entrypoint: Sets the script's folder settings and runs only the steps behind this number. The other steps, including the MATLAB side analysis, aren't part of it.
- Human setup: Installs the R packages as they were on 2020-02-28, the date of the code, from a dated copy of CRAN.
--- entrypoint [ENV by human] Sets the script's folder settings and runs only the steps behind this number. The other steps, including the MATLAB side analysis, aren't part of it. --- setup [DEPENDENCY by human] Installs the R packages as they were on 2020-02-28, the date of the code, from a dated copy of CRAN.
The full record (technical)
✓ Verified on NEAR. See the contract's history
- Outcome
- REPRODUCED
- 53d87974c67eef8008149ef40f0448812042bff87db91a0683551e921a3b2e75
- Commit
- b967d0851f66073a0bfe25d39374466639b9685f
- Data fingerprints
- None
- Software versions fingerprint
- 88ba3aee1287534131b01bbc15982bfd5b20236b095d847e14ac0d7988488ede
- Runtime
- 42s, exit code 0
- Started, finished
- 11/5/2026, 11:44:46 AM, 11/5/2026, 11:50:06 AM
- Lab
- rerun-lab-43f5f2.testnet
- Lab code fingerprint
- 49fabb2e2f141c064ca032b253ce0f7e4f8054a781e5b3d64ee0d8a238372802
- AI used
- z-ai/glm-5.3-flash
- f845706a81dd649de2da7cd719a9abb0868982a9c214dd09d22698640ce92d77
- Signed AI replies
- 3e25de8329f7427884eaed76d1c0d6c1
- Log fingerprint
- 6f1af59dc7eac8598c7658663ed109443408c9452c9130fbb58c7388afe9619b
- Write-up fingerprint
- 68ceb4793c649dac82540d3a3bb2310c9a37731b24e9f180922c801d97c76c7c
Show the end of the run log
R.matlab v3.6.2 (2018-09-26) successfully loaded. See ?R.matlab for help.
Attaching package: ‘R.matlab’
The following objects are masked from ‘package:base’:
getOption, isOpen
Loading required package: Matrix
Attaching package: ‘expm’
The following object is masked from ‘package:Matrix’:
expm
Loading required package: viridisLite
Loading required package: nlme
This is mgcv 1.9-1. For overview type 'help("mgcv-package")'.
Warning message:
In dir.create(savedir, recursive = T) : 'out/processed' already exists
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
Warning message:
Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.