upload: let short transcripts (<=5 words) attempt correlation instead of never linking at all

intelligence.py skips GPT extraction for transcripts <=5 words ("10-8", "show
me clear", a unit check-in) -- real cost/hallucination guard, kept as-is. But
upload.py's no-scenes correlation fallback (the path that thin-links a call
by talkgroup even with zero extracted content) excluded ANY skip_reason,
including transcript_too_short -- so this exact population, brief but real
follow-up and clearance traffic, never even attempted to attach to anything.
Found live: "Live, Ossining." sitting an orphan 6 seconds before a real
incident's founding call, on the same talkgroup.

Now only garbage_transcript (Whisper hallucination, no real content) stays
excluded; transcript_too_short reaches the same thin/fast-path fallback
already trusted for no-transcript calls, gated the same way -- same-talkgroup,
recently-active incident required before anything attaches. No GPT re-invoked,
no new cost.

Verified: 410 pass, 0 fail.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

drb-c2-core/app/routers/upload.py

@@ -522,11 +522,18 @@ async def _run_intelligence_pipeline(
 
         # Correlator also runs for calls with no scenes (unclassified) to attempt
         # talkgroup-based linking even when no transcript could be produced.
-        # Skip when extraction flagged the call — garbage or too-short transcripts
-        # carry no signal and would only attach spuriously via the thin path.
+        # transcript_too_short (<=5 words: "10-8", "show me clear", a unit
+        # check-in) still carries a real transcript and talkgroup — exactly the
+        # brief follow-up/clearance traffic an incident needs, and the thin-path
+        # merge below already requires a same-talkgroup, recently-active
+        # incident before attaching anything, same guard already trusted for
+        # no-transcript calls. Previously excluded here, so these calls never
+        # attached to anything at all. garbage_transcript (Whisper
+        # hallucination) has no real content behind it and stays excluded.
         if not scenes:
             _call_doc = await fstore.doc_get("calls", call_id)
-            if not (_call_doc or {}).get("skip_reason"):
+            skip_reason = (_call_doc or {}).get("skip_reason")
+            if not skip_reason or skip_reason == "transcript_too_short":
                 incident_id = await _correlate_with_consensus(
                     call_id=call_id,
                     node_id=node_id,