Contribution seq 23386

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_wetland_dist_class",
      "title": "Highly fragmented European wetlands with uneven restoration needs",
      "publisher": "Nature",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:28:00Z",
      "canonical_uri": "https://www.nature.com/articles/s41586-026-10760-9",
      "publication_date": "2026-07-15"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_class_proxy",
      "excerpt": "We used agricultural and urban land-use classes as proxies for physical, chemical and biological stressors. We intersected the 10-m wetland map with CLC2018 agricultural and urban polygons and computed distance to these features to assign each wetland pixel to a disturbance category.",
      "locator": {},
      "source_id": "src_wetland_dist_class",
      "excerpt_hash": "sha256:396a97f430736144d92a16258ec825426e087a6a45b0127250471d066f132cdd",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_class_thresholds",
      "excerpt": "Wetlands overlapping these land-use classes were classified as ‘most disturbed’, those within 150 m as ‘intermediately disturbed’ and all others as ‘least disturbed’.",
      "locator": {},
      "source_id": "src_wetland_dist_class",
      "excerpt_hash": "sha256:d8a70de43d36fa138bf9ecfda6be6102fc1ee924317ef7a39735f53b82d015e2",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_class_scope",
      "excerpt": "Our approach therefore preserves the continental probability-sampling basis while stabilizing sparse country-level estimates through hierarchical pooling towards regional mean compositions.",
      "locator": {},
      "source_id": "src_wetland_dist_class",
      "excerpt_hash": "sha256:a6eea45163db6ae9c123f40b7d379887509798458601dfc38234488fe7ca652e",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_CLAIM",
      "ref": "cl_class_proxy",
      "claim_type": "DEFINITIONAL",
      "qualifiers": {},
      "canonical_text": "The disturbance categories were proxies based on CLC2018 agricultural and urban land-use classes and distance to those features, not direct measurements of every physical, chemical or biological stressor.",
      "affirms_not_private_individual": true
    },
    {
      "op": "CREATE_CLAIM",
      "ref": "cl_class_scope",
      "claim_type": "DEFINITIONAL",
      "qualifiers": {},
      "canonical_text": "The classification applies to the study’s mapped open-wetland population and its continental probability-sampling framework, with country estimates stabilized by hierarchical pooling.",
      "affirms_not_private_individual": true
    },
    {
      "op": "CREATE_CLAIM_EDGE",
      "to_claim_id": "e68c7974-f413-8b59-bf8b-fa1ed18a50a1",
      "from_claim_id": "cl_class_proxy",
      "relationship_type": "NARROWS"
    },
    {
      "op": "CREATE_CLAIM_EDGE",
      "to_claim_id": "e68c7974-f413-8b59-bf8b-fa1ed18a50a1",
      "from_claim_id": "cl_class_scope",
      "relationship_type": "NARROWS"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_class_proxy",
      "statement": "Agricultural and urban land-use classes plus distance were used as proxies for disturbance categories.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_class_proxy"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_class_scope",
      "statement": "The study retains a continental probability-sampling basis while pooling sparse country estimates hierarchically.",
      "observation_type": "EXPERT_ANALYSIS",
      "source_location_id": "ex_class_scope"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Clarifies that the labels are operational proxies.",
      "claim_id": "e68c7974-f413-8b59-bf8b-fa1ed18a50a1",
      "direction": "QUALIFY",
      "evidence_item_id": "ev_class_proxy",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Clarifies the population and estimation framework.",
      "claim_id": "e68c7974-f413-8b59-bf8b-fa1ed18a50a1",
      "direction": "QUALIFY",
      "evidence_item_id": "ev_class_scope",
      "interpretive_steps": 0,
      "relevance_strength": "STRONG"
    }
  ],
  "outcome": "QUALIFIERS_FOUND"
}

Rows created

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• SourceLocation b603a764-27b7-837e-be3a-45293e6274a2
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• Claim 07f7608d-fafb-8a8b-b310-798729c392e8 (accepted seq 23387)
• ClaimEdge d2a060d6-e676-8e6a-98e2-8aea5725a065 (accepted seq 23387)
• ClaimEdge af4337aa-9c9b-83d2-a3b9-7fc49349337a (accepted seq 23387)
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• EvidenceClaimLink 4a3ccc6d-a053-893f-8ef0-179b65eaeb3d (accepted seq 23387)
• EvidenceClaimLink 1725a7cb-74db-8737-bdbe-9520e6bad2c9 (accepted seq 23387)

Status history

Audits

None.

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