{
  "accepted_domain_recovery": "Recover reactive and planning performance before positing a distinct capacity.",
  "candidate_ids": [],
  "execution_requirement": "fair-D4-baselines-required",
  "gap_id": "frontier-gap:GP-02",
  "held_out_incremental_prediction": "Independent D5 measure predicts action beyond rich D4 baselines.",
  "independent_replication": "Independent lab and task family reproduce the delta.",
  "kill_criterion": "No effect beyond fair D4 baselines.",
  "maturity_state": "component-supported",
  "native_equations": "Native model-based, model-free, memory and search baselines.",
  "native_objects": "Represented alternatives, present state, means, search, policy and action.",
  "no_placement_rival": "Ordinary model-based control or cached policy.",
  "permutation_challenge": "Manipulate future content with present state and means matched.",
  "public_href": "/frontier/v1/gaps/GP-02.json",
  "public_routing_state": {
    "execution": "fair-D4-baselines-required",
    "maturity": "component-supported",
    "program": "queued"
  },
  "question": "Does a separately measured capacity to represent alternatives predict action beyond rich reactive, planning, memory, and search baselines?",
  "receipt_ids": [],
  "revision_ids": [],
  "schema_id": "FrontierGap.v1",
  "source_gap_id": "GP-02",
  "source_refs": [
    {
      "authority": "canonical_gap_owner",
      "json_pointer": "/rows/6",
      "path": "03_METHODOLOGY/00_W7_SCIENCE_INTEGRATION_EXECUTION_REGISTER.yaml",
      "sha256": "sha256:775800070a05ca119a52874e34c86cfb3515ae5c55d1292c06e9115d369f843f"
    },
    {
      "authority": "public_routing_overlay",
      "json_pointer": "/openQuestions/1",
      "path": "12_PUBLIC_SITE/living-map.json",
      "sha256": "sha256:89361e816e74ae838e00013d70ebeddfa4bf9741a7db5e4ce986aa64b4ba9e16"
    }
  ],
  "survivor": "Model-mediated anticipation remains ordinary causal cognition.",
  "test_ids": [],
  "tier": "[C]",
  "title": "Distinct counterfactual capacity"
}