Contribution seq 24400

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_nature_gauge_priority_2026",
      "title": "Precipitation observing network gaps limit climate change impact assessment",
      "publisher": "Nature",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:29:10Z",
      "canonical_uri": "https://www.nature.com/articles/s41586-026-10300-5"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_nature_gauge_priority_2026",
      "excerpt": "Globally, approximately 25% of land areas are identified as high priority for siting new gauges (PSNG score of 7–8) based on historical precipitation information from 1900 to 2022 (Fig. 3a and Supplementary Fig. 5).",
      "locator": {},
      "source_id": "src_nature_gauge_priority_2026",
      "excerpt_hash": "sha256:f48700ede01f4ad6d2fa3c56c18366409c9f825141049ee84ec2b584d8976f0c",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_nature_gauge_priority_support",
      "statement": "The primary Nature article reports that approximately 25% of global land is high priority for new precipitation gauges based on historical precipitation information from 1900–2022.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_nature_gauge_priority_2026"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The source directly states the time span and approximate global-land share.",
      "claim_id": "4cbf2b2e-8783-827b-a373-03f13e73386b",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_nature_gauge_priority_support",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 143c0d9b-7e5f-876c-9236-2adef4cf909a
• SourceLocation 62119b8a-8136-8f78-b239-cfc3578b8284
• EvidenceItem 9e466d0f-8215-8670-8367-4d09b027a4f7
• EvidenceClaimLink 511f067f-dbd2-88ba-b557-1ea7915659d3 (accepted seq 24401)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"environment","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}