{"data":{"kind":"file","path":"README.md","version_id":"ay62qwpsatvm2i4octtp7txz","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":828,"modified_at":"2026-04-29T10:50:44.651000","content_hash":"a1f7ba5d547f267e6e2b3f2ff560eac029bae1c3242c01b709ca3acdd5489960"},"entries":[],"content":"# mri-knee-reconstruction\n\nMRI knee reconstruction from 4x-undersampled Cartesian k-space with zero-filled-IFFT baseline and conformal σ̂.\n\nVerifiable Labs Scientific-RL environment. Published as a thin wrapper around the monorepo at https://github.com/stelioszach03/verifiable-labs-envs — the wrapper pulls the monorepo as a Git dependency so the full source of truth (rewards, forward operators, LLM adapter, conformal calibration) stays in one place.\n\n## Install\n\n```bash\nprime env install verifiable-labs/mri-knee-reconstruction\n```\n\n## Use\n\n```python\nfrom verifiers import load_environment    # or Prime SDK equivalent\nenv = load_environment(\"mri-knee-reconstruction\")\nout = env.run_baseline(seed=0)\nprint(out[\"reward\"])\n```\n\nSee the monorepo README + docs for the reward spec, contamination story, and benchmark data.\n","encoding":"utf-8","truncated":false,"total_bytes":828},"status":null}