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      "published_at": "2025-10-10T15:20:29+00:00",
      "fetched_at": "2026-08-02T05:22:54+00:00",
      "ai_assisted_summary": true,
      "id": "04ca2e3d47",
      "url_hash": "90f57eab7e57b962304f85b7f3175b3575816a59e933100aff89e50ccbba96a1",
      "short_code": "CuITK",
      "source_title": "Interpretable Machine Learning for Predicting Startup Funding, Patenting, and Exits",
      "source_snippet": "This study develops an interpretable machine learning framework to forecast startup outcomes, including funding, patenting, and exit. A firm-quarter panel for 2010-2023 is constructed from Crunchbase and matched to U.S. Patent and Trademark Office (USPTO) data. Three horizons are evaluated: next funding within 12...",
      "seen_at": "2025-10-10T15:20:29+00:00",
      "prominence_tier": "primary",
      "buckets": {
        "companies": [],
        "models": [],
        "products": [],
        "topic": "startup-funding",
        "reader_depth": "TECHNICAL",
        "editorial_category": ""
      },
      "display_seen_at": "2025-10-10 15:20 UTC",
      "is_early": false,
      "primary_action_url": "/s/CuITK/",
      "primary_action_label": "Open signal",
      "source_action_label": "Original source",
      "copy_url": "https://vqv.me/CuITK",
      "category": "",
      "label_class": "source-backed"
    }
  ]
}