Contribution seq 24356

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_jlc_ninth_circuit_panel_2025",
      "title": "Measuring How Much Judges Matter for Case Outcomes",
      "publisher": "Journal of Law and Courts",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:14:10Z",
      "canonical_uri": "https://www.cambridge.org/core/journals/journal-of-law-and-courts/article/measuring-how-much-judges-matter-for-case-outcomes/B81C82F81C6787FECA094DDBBA0F91A5"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_jlc_ninth_circuit_38pct",
      "excerpt": "Applying this method to the Ninth Circuit, we estimate that at least 38% of cases could be decided differently based solely on the panel they were assigned to.",
      "locator": {},
      "source_id": "src_jlc_ninth_circuit_panel_2025",
      "excerpt_hash": "sha256:045b80af6b168c97bc63d21d7eaf16f290676119de04db9d70d2284cfcb5bb7a",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_jlc_ninth_circuit_38pct_support",
      "statement": "The primary Journal of Law and Courts article estimates that at least 38% of Ninth Circuit cases could have different outcomes based solely on panel assignment.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_jlc_ninth_circuit_38pct"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The abstract directly states the claimed percentage and panel-assignment basis.",
      "claim_id": "ae1193af-c85e-8694-a599-91457c77204e",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_jlc_ninth_circuit_38pct_support",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

• Source 92a26745-93ec-85aa-89d3-73f57e92ed26
• SourceLocation 4898f7cb-be82-8d9b-b296-9f5ef38fde82
• EvidenceItem 555e1fde-8fc0-8f74-9248-cce2ec65940f
• EvidenceClaimLink aa9880da-fe22-8aeb-a58e-d8945b4c90f8 (accepted seq 24357)

Status history

Audits

None.

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