# SHWRP-2026-024 reproducibility package

This package accompanies:

> 周秉漢 / CHOU, BING-HAN（2026）。《從公開徵案到可執行計畫：代理式AI自動搜尋臺灣政府補助機會、評估企業適配性與生成可查證商業計畫書之決策框架》。SHWRP-2026-024，v1.0. https://doi.org/10.5281/zenodo.21521230

## Research scope

The paper is an exploratory content analysis of 20 purposively selected
application-track or opportunity records from 18 official Taiwanese
government URLs, plus a deterministic decision-framework demonstration using
six fully synthetic company profiles.

It is not:

- a complete census of Taiwanese public funding opportunities;
- an official eligibility determination;
- an approval-probability model;
- evidence that AI improves approval rates or reduces application costs;
- a grant-writing agency, legal opinion, accounting opinion, or guarantee;
- an autonomous submission system.

Every record has `status_requires_live_recheck=1`. Before any real decision,
users must check the latest official notice, complete attachments, and the
responsible agency.

## Reproduce

```powershell
python analysis.py
python build_artifacts.py
python validate.py
```

The scripts expect Python packages listed in `requirements.txt`. The PDF uses
the site's Noto Sans TC font at `public/fonts/NotoSansTC-Regular.ttf` when built
inside the website repository.

## Files

- `program-audit.csv`: researcher-coded official opportunity records.
- `company-profiles.csv`: six synthetic company profiles.
- `risk-matrix.csv`: researcher-prioritized governance risks.
- `safety-tests.csv`: deterministic safety-policy test cases.
- `source-log.csv`: source URLs, capture dates, use, and redistribution status.
- `analysis.py`: scoring, gating, sensitivity analysis, safety tests, and figures.
- `outputs/document-readiness.csv`: three weighting specifications.
- `outputs/field-coverage.csv`: seven-field observable rates.
- `outputs/fit-results.csv`: 120 preliminary gate results and conditional fit scores.
- `outputs/naive-vs-gated.csv`: keyword and three-state gate counts by profile.
- `outputs/proposal-section-readiness.csv`: twelve-section evidence gate.
- `outputs/safety-test-results.csv`: deterministic policy-test results.
- `outputs/risk-priority-results.csv`: derived risk priority scores.
- `outputs/figures/`: six author-generated figures.
- `paper.md`, `paper.pdf`, and `paper-content.json`: publication formats.
- `validation-report.json`: automated artifact validation result.

## Licensing boundaries

CC BY 4.0 applies to content the author has the right to license: original
analysis, prose arrangement, code, researcher-created field coding, and
original figures.

Official program names, trademarks, URLs, application requirements, attached
guides, and other source material remain subject to their originating
agencies' terms. No complete official webpage, downloaded application guide,
third-party image, personal information, or private company evidence is
redistributed in this package. See `RIGHTS-NOTICE.txt`.

## AI use and responsibility

OpenAI Codex assisted source-lead organization, coding-consistency checks,
analysis code, prose drafting, figures, and website production. AI is not an
author and is not a second independent human coder. CHOU, BING-HAN is
responsible for source verification, method, interpretation, publication, and
corrections.

Corrections: handson0102@hotmail.com
