{
  "apiVersion": "v0.1",
  "methodology": "https://sourcescore.org/methodology/",
  "canonical": "https://sourcescore.org/compare/anthropic-research-vs-deepmind-research/",
  "summary": "Anthropic vs DeepMind — safety-research lab vs flagship-publication lab compared.",
  "a": {
    "slug": "anthropic-research",
    "name": "Anthropic Research",
    "domain": "anthropic.com",
    "canonical": "https://sourcescore.org/source/anthropic-research/",
    "api": "https://sourcescore.org/api/source/anthropic-research.json",
    "scores": {
      "index": {
        "value": 82,
        "grade": "B",
        "rationale": "A — top-tier AI lab with peer-reviewed publications + interpretability + safety research.",
        "signals": [
          {
            "label": "Composite",
            "detail": "Discipline 86 + Modern Reference 88 + Velocity 72."
          }
        ]
      },
      "discipline": {
        "value": 86,
        "grade": "A",
        "rationale": "Peer-review + open arxiv preprints + methodology disclosed; corrections public.",
        "signals": [
          {
            "label": "Open-research practice",
            "detail": "Most papers preprinted to arxiv."
          }
        ]
      },
      "modernReference": {
        "value": 88,
        "grade": "A",
        "rationale": "Open papers + model cards + research blog; broad LLM corpus inclusion.",
        "signals": [
          {
            "label": "Research transparency",
            "detail": "Detailed model cards + safety-research disclosure."
          }
        ]
      },
      "velocity": {
        "value": 72,
        "grade": "B",
        "rationale": "Cited within AI research + tech press; growing share of citation in AI/safety space.",
        "signals": [
          {
            "label": "AI-research citation",
            "detail": "Frequently cited by current AI/safety papers."
          }
        ]
      }
    }
  },
  "b": {
    "slug": "deepmind-research",
    "name": "Google DeepMind Research",
    "domain": "deepmind.google",
    "canonical": "https://sourcescore.org/source/deepmind-research/",
    "api": "https://sourcescore.org/api/source/deepmind-research.json",
    "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."
          }
        ]
      }
    }
  },
  "winners": {
    "index": "deepmind-research",
    "discipline": "deepmind-research",
    "modernReference": "anthropic-research",
    "velocity": "deepmind-research"
  },
  "license": {
    "methodology": "Cite as: SourceScore Methodology v0.1, sourcescore.org",
    "data": "Underlying public-source data credited to original publishers"
  }
}