Ranking rule changes and complementor investment
How this study was produced: every step of the run with the file it wrote, and everything the run used, pinned to the exact version. The address of this page is derived from its content: if anything below changed, the address would change.
Example dossierOpen the study
Dossiersha256:5c1586430ed0b9b1bab55dc5110cb91cef47274459668bf80cda36485175cd1d
Run settings
- E2ER
- example
- Template
- rd-platform-policy
- AI backend
- n/a
- Models
- n/a
Input data
SHA-256 of the data files, as recorded in the study's provenance.
- ·data/data_dictionary.json 7037d6d720f6
- ·data/data_summary.md 371fdc428af8
Workflow (0 steps)
This study was published without its run record, so the steps are not listed.
What it was built with (2)
Each part with its authors and the version used. E2ER parts are pinned by git's content hash of their file at the commit above; follow a link to read that exact version.
Templates (1)
| Template | By | Pinned version |
|---|---|---|
| Regression discontinuity for platform policies (information systems) | Noor Haddad | example · sha256 52e36b2b8d7d |
Skills (1)
| Skill | By | Pinned version |
|---|---|---|
| Regression Discontinuity Design | E2ER contributors | example · sha256 a5cbb34d2fe6 |
Cite E2ER with this dossier
A paper produced with E2ER gives one reference for E2ER: this dossier. It credits everyone listed above.
@misc{e2er-5c1586430ed0b9b1,
title = {E2ER dossier for "Ranking rule changes and complementor investment"},
author = {{E2ER}},
year = {2026},
howpublished = {\url{https://e2er.org/d/5c1586430ed0b9b1}},
note = {Workflow, templates, specialists, skills, connectors and models used, pinned by content hash. Dossier sha256:5c1586430ed0b9b1bab55dc5110cb91cef47274459668bf80cda36485175cd1d}
}