{"data":{"kind":"file","path":"README.md","version_id":"sibphta464el0blsikcv2abk","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":821,"modified_at":"2026-04-29T10:50:44.651000","content_hash":"e428878fb92a9496b9514715bfe5cd126c731689d79bd6ca7a08336dfea5b804"},"entries":[],"content":"# mri-knee-reconstruction-multiturn\n\n3-turn MRI knee reconstruction with k-space-residual feedback between turns.\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-multiturn\n```\n\n## Use\n\n```python\nfrom verifiers import load_environment    # or Prime SDK equivalent\nenv = load_environment(\"mri-knee-reconstruction-multiturn\")\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":821},"status":null}