{
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    "relation": "topic-surface-only",
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  "dek": "The next big competition in artificial intelligence is over science. The question is shifting from who has the largest model to who can use AI to shorten the discovery cycle: forming a hypothesis, running simulations, designing an experiment, operating equipment, collecting results and learning from them. The United St",
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      "item_id": "item-dac8acffa23fd85e1f358fd1",
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      "role": "media",
      "source_id": "scmp-china",
      "source_name": "South China Morning Post — China",
      "title": "How Shenzhen can win the ‘AI for science’ race",
      "url": "https://www.scmp.com/opinion/china-opinion/article/3364868/how-shenzhen-can-win-ai-science-race",
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  "lead": false,
  "lead_reason": "Current single-source metadata is retained but not promoted as a lead.",
  "limitations": [
    "Palimpsest retained only feed title, canonical link, time, and a bounded plain-text excerpt; it did not fetch the article body.",
    "The evidence-strength label describes source structure, not truth, intent, impact, or causation.",
    "Declared instrument links are topical pointers until a separate scan or economic observation is joined by time and method.",
    "Title-similarity clustering can miss differently worded or cross-language accounts and can join closely worded updates.",
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  "mutation": {
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  "published_at": "2026-08-27T08:30:10Z",
  "reported_facts": [
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      "attribution": "South China Morning Post — China",
      "evidence_item_id": "item-dac8acffa23fd85e1f358fd1",
      "published_at": "2026-08-27T08:30:10Z",
      "statement": "South China Morning Post — China published “How Shenzhen can win the ‘AI for science’ race”."
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}