# ICg-CaST Documentation

ICg-CaST is a synthetic research framework for testing an AI-integrated
carcinogenomics causal-state theory. The active Python package is `icg_cast`.
The starter-kit logic has been migrated into the package under `src/icg_cast`.

```{toctree}
:maxdepth: 2
:caption: User Guide

theory
quickstart
simulation
cli
streamlit_app
api
data_sources
calibration
validation
```

```{toctree}
:maxdepth: 2
:caption: Mechanistic Modeling

bottleneck
benchmark
coefficients
```

```{toctree}
:maxdepth: 2
:caption: Governance

ethics_and_limitations
```

Reference dictionaries live under `materials/`:

- `data_dictionary.csv`
- `intervention_dictionary.csv`
- `chemical_archetypes.csv`
- `kcc_to_aop_mapping.csv`
- `dataset_manifest.csv`
- `provenance_template.json`