# Authorship, source acknowledgments and licenses

## Original hackathon implementation

The new 7GC Mission Control simulation, planner, interface, code-native SVG artwork, tests, explanations and judging materials were authored November 15, 2026 with OpenAI Codex assistance, under the owner’s project concept and requirements. Project lead: Edmund Gunn Jr., gunnchOS. No prior gunnchOS production code, character art, game assets, release artifacts or source leases are included.

The team’s baseline entry was officially submitted at 4:09 AM America/Chicago on November 15. The [2026 Participant Terms](https://www.spaceappschallenge.org/legal/) specify Apache License 2.0 as the default for original solution content when a team does not specify another OSI-compliant license. The included LICENSE text records that default for this independent hackathon solution. It does not license or alter unrelated gunnchOS repositories, existing products, trademarks or third-party works. No NASA endorsement or rights to NASA insignia are granted.

## NASA reference facts

- NASA NTRS 20230012635, *Logistics Rates and Assumptions for Future Human Spaceflight Missions Beyond LEO*, Tables 2, 8 and 11: https://ntrs.nasa.gov/citations/20230012635
- NASA ECLSS overview, updated April 4, 2025: https://www.nasa.gov/reference/environmental-control-and-life-support-systems-eclss/
- Challenge framing: https://www.spaceappschallenge.org/2026/challenges/junior-astronaut-mission-trainer/

Factual reference inputs are attributed in MODEL.md and data-provenance.json. The source publications and NASA media are not copied into the runtime. No stock media, NASA logo, third-party game artwork or generated photo is used.

## Development and verification tools

The deployed application consists of original HTML/CSS/JavaScript/SVG and has no third-party JavaScript runtime dependency, remote font or media download. It runs in a current standards-compliant browser without an account or API key.

Tools used during authoring or verification, not bundled as application runtime code:

- OpenAI Codex, OpenAI Sites and OpenAI presentation artifact tools: https://openai.com/codex/ and https://openai.com/
- Node.js standard library and test runner, MIT: https://nodejs.org/ and https://github.com/nodejs/node/blob/main/LICENSE
- Python standard library, PSF license: https://www.python.org/ and https://docs.python.org/3/license.html
- Playwright, Apache 2.0, optional browser tests: https://playwright.dev/ and https://github.com/microsoft/playwright/blob/main/LICENSE
- Google Chrome, separately installed proprietary browser used for testing; not shipped in the source package: https://www.google.com/chrome/
- ReportLab, BSD license, optional rendered-PDF assembly: https://www.reportlab.com/opensource/ and https://hg.reportlab.com/hg-public/reportlab/file/tip/LICENSE.txt
- pypdf, BSD-3-Clause, PDF structure checks: https://pypdf.readthedocs.io/ and https://github.com/py-pdf/pypdf/blob/main/LICENSE

The Python PDF builder embeds the seven inspected slide renders. The PPTX retains editable text and charts. Tools retain their own licenses; no third-party engine or browser binary is redistributed. Using a named tool during development does not imply that the deployed game contains that tool.

## AI disclosure

OpenAI Codex generated and revised code, illustrative parameters, explanations, original SVG design and slides. The interface and screenshot slides visibly identify AI assistance; code comments and data-provenance metadata identify its scope. NASA input facts are sourced transcriptions, not invented live data. There is no runtime model inference, chatbot or paid inference service in the application.