{
  "apiVersion": "v0.1",
  "methodology": "https://sourcescore.org/methodology/",
  "canonical": "https://sourcescore.org/compare/anthropic-research-vs-openai-research/",
  "summary": "Two top-tier AI labs — research transparency + safety + publication practices 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": "openai-research",
    "name": "OpenAI Research",
    "domain": "openai.com",
    "canonical": "https://sourcescore.org/source/openai-research/",
    "api": "https://sourcescore.org/api/source/openai-research.json",
    "scores": {
      "index": {
        "value": 80,
        "grade": "B",
        "rationale": "A- — top-tier AI lab; partial transparency + selective open research.",
        "signals": [
          {
            "label": "Composite",
            "detail": "Discipline 80 + Modern Reference 86 + Velocity 76."
          }
        ]
      },
      "discipline": {
        "value": 80,
        "grade": "B",
        "rationale": "Selective peer-review + arxiv publication; some research not fully disclosed (commercial constraints).",
        "signals": [
          {
            "label": "Selective transparency",
            "detail": "Some flagship work published; some kept proprietary."
          }
        ]
      },
      "modernReference": {
        "value": 86,
        "grade": "A",
        "rationale": "Open papers + research blog + technical reports; broad LLM corpus.",
        "signals": [
          {
            "label": "Research publications",
            "detail": "Major papers (GPT-X, RLHF, etc.) widely cited."
          }
        ]
      },
      "velocity": {
        "value": 76,
        "grade": "B",
        "rationale": "Cited by AI research + tech press globally; major model releases drive cycles.",
        "signals": [
          {
            "label": "Model-release cycle",
            "detail": "Major announcements drive same-day citation surges."
          }
        ]
      }
    }
  },
  "winners": {
    "index": "anthropic-research",
    "discipline": "anthropic-research",
    "modernReference": "anthropic-research",
    "velocity": "openai-research"
  },
  "license": {
    "methodology": "Cite as: SourceScore Methodology v0.1, sourcescore.org",
    "data": "Underlying public-source data credited to original publishers"
  }
}