{
  "registry_schema": "nmd-vcell-research-upgrade-queue/1.0",
  "resource_release": "v1.2.0-measured-dmd-evidence",
  "evidence_freeze": "2026-08-03",
  "interface_build": "EA-20260817-57",
  "checked_at": "2026-08-16",
  "record_count": 7,
  "records": [
    {
      "work_id": "UPGRADE-L0-LANDSCAPE",
      "priority": "P0",
      "status": "IMPLEMENTED_THIS_BUILD",
      "title": "Publish the research landscape and asset ledger",
      "deliverable": "One public route plus machine-readable asset, competitor, model and data opportunity registries.",
      "acceptance_gate": "Every external record has a source, checked date, local status, next gate and inheritance boundary.",
      "unlocks": "Discoverability and a reproducible upgrade queue; no prediction claim."
    },
    {
      "work_id": "UPGRADE-L0-PRODUCT-CONTRACTS",
      "priority": "P0",
      "status": "IMPLEMENTED_THIS_BUILD",
      "title": "Standardize four product cards and four flagship entry points",
      "deliverable": "Dataset, Model, Benchmark and Workflow/Outcome contracts plus Evidence Atlas, Virtual Cell Models, Experiment Engine and Outcome Registry homepage routes.",
      "acceptance_gate": "Each contract declares required sections, object links, current state, next gate and claim boundary in both the website and machine-readable registry.",
      "unlocks": "A coherent product architecture and reusable publishing rules; no new biological claim."
    },
    {
      "work_id": "UPGRADE-L1-SOURCE-RECOVERY",
      "priority": "P0",
      "status": "NEXT_EXTERNAL_DEPENDENCY",
      "title": "Recover author-missing feature and metadata files",
      "deliverable": "Checksummed feature, sample, perturbation and processing identity objects.",
      "acceptance_gate": "Column semantics, sample mapping, perturbation identities and provenance are complete and internally consistent.",
      "unlocks": "A defensible reanalysis decision; not automatic model training."
    },
    {
      "work_id": "UPGRADE-L2-DONOR-CELL-IMPORT",
      "priority": "P1",
      "status": "READY_FOR_DATA_DISCOVERY",
      "title": "Register donor-resolved neuromuscular single-cell objects",
      "deliverable": "At least two source-linked datasets with donor, disease, tissue, state, batch, matrix and license fields.",
      "acceptance_gate": "Pseudobulk-capable donor identity is preserved; source H5AD or equivalent matrices are checksum-addressable.",
      "unlocks": "A real cell browser with linked expression and state views."
    },
    {
      "work_id": "UPGRADE-L3-MODEL-ADAPTER",
      "priority": "P1",
      "status": "READY_FOR_ENGINEERING",
      "title": "Implement one external model adapter on a compatible public benchmark",
      "deliverable": "STATE or CellOT adapter plus identical frozen data, split, baseline and metric contracts.",
      "acceptance_gate": "The adapter beats prespecified simple baselines across required seeds and metric families; failures remain public.",
      "unlocks": "A reproducible generalist benchmark result, not DMD transfer."
    },
    {
      "work_id": "UPGRADE-L4-LINKED-VISUALS",
      "priority": "P2",
      "status": "BLOCKED_BY_REGISTERED_CELL_OBJECTS",
      "title": "Add Vitessce-style linked cell-state views",
      "deliverable": "Gene, embedding, donor, heatmap and optional spatial views over registered objects.",
      "acceptance_gate": "Selections resolve to source dataset and donor-aware analysis objects; no cell-level pseudo-replication.",
      "unlocks": "Interactive biological exploration with auditable statistical units."
    },
    {
      "work_id": "UPGRADE-L5-DMD-PREDICTOR",
      "priority": "LOCKED",
      "status": "NOT_AUTHORIZED_BY_CURRENT_TRUTH",
      "title": "Calibrated candidate-level DMD response model",
      "deliverable": "No deliverable is claimed in the current release.",
      "acceptance_gate": "Requires independent disease-relevant perturbation outcomes, frozen predictions, calibration and external replication.",
      "unlocks": "Only then could a bounded DMD prediction claim be reconsidered."
    }
  ],
  "claim_boundary": "External models, datasets and platform practices are opportunities or design references. They are not inherited evidence, local execution results or validated DMD predictions."
}