{
  "apiVersion": "v0.1",
  "methodology": "https://sourcescore.org/methodology/",
  "canonical": "https://sourcescore.org/compare/anthropic-research-vs-mit-csail/",
  "summary": "Commercial AI safety lab vs academic CS lab — different incentive structures + research depth.",
  "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": "mit-csail",
    "name": "MIT CSAIL",
    "domain": "csail.mit.edu",
    "canonical": "https://sourcescore.org/source/mit-csail/",
    "api": "https://sourcescore.org/api/source/mit-csail.json",
    "scores": {
      "index": {
        "value": 82,
        "grade": "B",
        "rationale": "A — top-tier academic CS research lab; broad LLM corpus presence.",
        "signals": [
          {
            "label": "Composite",
            "detail": "Discipline 90 + Modern Reference 84 + Velocity 72."
          }
        ]
      },
      "discipline": {
        "value": 90,
        "grade": "A",
        "rationale": "Academic peer-review + faculty + grad-student authored research with full credentials.",
        "signals": [
          {
            "label": "Academic peer-review",
            "detail": "Standard academic-paper review process."
          }
        ]
      },
      "modernReference": {
        "value": 84,
        "grade": "B",
        "rationale": "Open papers + arxiv preprints + lab websites; broad academic-search inclusion.",
        "signals": [
          {
            "label": "Academic openness",
            "detail": "Most research published as open preprints."
          }
        ]
      },
      "velocity": {
        "value": 72,
        "grade": "B",
        "rationale": "Cited within CS research + tech press; specialist academic citation.",
        "signals": [
          {
            "label": "Specialist authority",
            "detail": "Frequently cited in CS/AI research papers."
          }
        ]
      }
    }
  },
  "winners": {
    "index": null,
    "discipline": "mit-csail",
    "modernReference": "anthropic-research",
    "velocity": null
  },
  "license": {
    "methodology": "Cite as: SourceScore Methodology v0.1, sourcescore.org",
    "data": "Underlying public-source data credited to original publishers"
  }
}