{
  "apiVersion": "v0.1",
  "methodology": "https://sourcescore.org/methodology/",
  "canonical": "https://sourcescore.org/source/deepmind-research/",
  "source": {
    "slug": "deepmind-research",
    "name": "Google DeepMind Research",
    "domain": "deepmind.google",
    "category": "Academic",
    "summary": "AI research lab; flagship publications across reinforcement learning + biology + games + foundation models.",
    "founded": 2010,
    "verified": "2026-04-28",
    "methodologyVersion": "v0.1"
  },
  "scores": {
    "index": {
      "value": 83,
      "grade": "B",
      "rationale": "A — top-tier AI lab; landmark Nature publications + open arxiv research.",
      "signals": [
        {
          "label": "Composite",
          "detail": "Discipline 88 + Modern Reference 86 + Velocity 76."
        }
      ]
    },
    "discipline": {
      "value": 88,
      "grade": "A",
      "rationale": "Peer-review + Nature publications + open arxiv preprints; methodology disclosed.",
      "signals": [
        {
          "label": "Nature publications",
          "detail": "AlphaFold + AlphaGo published in Nature."
        }
      ]
    },
    "modernReference": {
      "value": 86,
      "grade": "A",
      "rationale": "Open papers + AlphaFold open-access + research blog; broad LLM corpus.",
      "signals": [
        {
          "label": "AlphaFold corpus",
          "detail": "Public protein-structure database."
        }
      ]
    },
    "velocity": {
      "value": 76,
      "grade": "B",
      "rationale": "Cited by AI research + biology + games press; landmark publications drive cycles.",
      "signals": [
        {
          "label": "Landmark cycle",
          "detail": "AlphaFold + AlphaGo level releases drive global citation."
        }
      ]
    }
  },
  "license": {
    "methodology": "Cite as: SourceScore Methodology v0.1, sourcescore.org",
    "data": "Underlying public-source data credited to original publishers"
  }
}