diff --git a/src/lib/documents/__tests__/extract.test.ts b/src/lib/documents/__tests__/extract.test.ts
index e18ee8f8c..eab86d047 100644
--- a/src/lib/documents/__tests__/extract.test.ts
+++ b/src/lib/documents/__tests__/extract.test.ts
@@ -226,6 +226,27 @@ describe("runInboundExtraction — stated-status-only mapping", () => {
     expect(result.facts.map((f) => f.needsReview)).toEqual([false, true]);
   });
 
+  it('sends a "1 (calc)" unit to review like a plain "1"', async () => {
+    const provider = fakeProvider(
+      JSON.stringify({
+        facts: [
+          {
+            type: "OBSERVATION",
+            label: "CHOL/HDLC RATIO",
+            value: 4,
+            unit: "1 (calc)",
+            confidence: 0.95,
+            sourceText: "CHOL/HDLC RATIO 4.0 (calc)",
+          },
+        ],
+      }),
+    );
+
+    const result = await runInboundExtraction(oneRead(provider));
+    expect((result.facts[0].data as ObservationFactData).unit).toBe("1");
+    expect(result.facts[0].needsReview).toBe(true);
+  });
+
   it("stores the document's real span, not the model's echo of it", async () => {
     // The OCR text says "Hämoglobin    14.2 g/dL"; the model echoes a tidied
     // rendering of it. The stored provenance must be the document's characters.
diff --git a/src/lib/documents/extract.ts b/src/lib/documents/extract.ts
index 54000da5f..734d2ccd0 100644
--- a/src/lib/documents/extract.ts
+++ b/src/lib/documents/extract.ts
@@ -393,6 +393,9 @@ export async function runInboundExtraction(
     // every fact from it is unanchored by construction.
     const anchor = anchorSourceText(raw.sourceText, args.ocrText);
     if (!anchor.anchored) unanchored += 1;
+    // The unit as it will be stored, with any "(calc)" note gone, so a
+    // "1 (calc)" is judged as the "1" it becomes.
+    const unit = observationUnit(raw.unit);
     facts.push({
       factType: raw.type,
       confidence,
@@ -404,10 +407,8 @@ export async function runInboundExtraction(
       needsReview:
         confidence < INBOUND_CONFIDENCE_FLOOR ||
         (raw.type === "OBSERVATION" &&
-          (isDimensionlessUnit(raw.unit) ||
-            (raw.unit !== null &&
-              raw.unit.trim() !== "" &&
-              observationUnit(raw.unit) === null))),
+          (isDimensionlessUnit(unit) ||
+            (raw.unit !== null && raw.unit.trim() !== "" && unit === null))),
       data,
       provenance: {
         sourceText: anchor.sourceText,