{
  "accepted_domain_recovery": "Both models recover training-domain behavior before intervention.",
  "candidate_ids": [],
  "execution_requirement": "real-domain-freeze-required",
  "gap_id": "frontier-gap:GP-01",
  "held_out_incremental_prediction": "Relation-aware model predicts held-out intervention outcome.",
  "independent_replication": "Independent domain team repeats the intervention.",
  "kill_criterion": "Relations add no discrimination or fail to recover element behavior.",
  "maturity_state": "packet-complete",
  "native_equations": "Element-only and relation-aware native models.",
  "native_objects": "Identical element inventories, intervenable relation structures and outcomes.",
  "no_placement_rival": "Feature engineering or definitional expansion without emergence language.",
  "permutation_challenge": "Randomize relation labels and structures while preserving inventories.",
  "public_href": "/frontier/v1/gaps/GP-01.json",
  "public_routing_state": {
    "execution": "real-domain-freeze-required",
    "maturity": "packet-complete",
    "program": "queued"
  },
  "question": "Can a relation-aware model predict an intervention better than a model with the same elements but no explicit relation structure?",
  "receipt_ids": [],
  "revision_ids": [],
  "schema_id": "FrontierGap.v1",
  "source_gap_id": "GP-01",
  "source_refs": [
    {
      "authority": "canonical_gap_owner",
      "json_pointer": "/rows/3",
      "path": "03_METHODOLOGY/00_W7_SCIENCE_INTEGRATION_EXECUTION_REGISTER.yaml",
      "sha256": "sha256:775800070a05ca119a52874e34c86cfb3515ae5c55d1292c06e9115d369f843f"
    },
    {
      "authority": "public_routing_overlay",
      "json_pointer": "/openQuestions/0",
      "path": "12_PUBLIC_SITE/living-map.json",
      "sha256": "sha256:89361e816e74ae838e00013d70ebeddfa4bf9741a7db5e4ce986aa64b4ba9e16"
    }
  ],
  "survivor": "D2 remains a useful configuration address.",
  "test_ids": [],
  "tier": "[C]",
  "title": "Relation intervention"
}