fix(llm-review): Pre-Filter entfernt — alle Einträge ans LLM senden

Der digit-in-word Pre-Filter hat alle 41 Einträge geblockt (skipped=41
im Log). OCR-Fehler können nicht im voraus erkannt werden.

Zurück zum ursprünglichen Ansatz: alle nicht-leeren Einträge ohne
IPA-Klammern werden ans LLM gesendet. Schutz gegen Übersetzungen
erfolgt ausschließlich über den strikten Prompt und _is_spurious_change().

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

klausur-service/backend/cv_vocab_pipeline.py

@@ -5399,23 +5399,19 @@ _OCR_DIGIT_IN_WORD_RE = _re.compile(r'(?<=[A-Za-zÄÖÜäöüß])[01568]|[01568]
 def _entry_needs_review(entry: Dict) -> bool:
     """Check if an entry should be sent to the LLM for review.
 
-    Only sends entries that actually contain OCR digit↔letter confusion
-    patterns (e.g. "8en" instead of "Ben", "L0ndon" instead of "London").
-    This prevents the LLM from touching correct entries.
+    Sends all non-empty entries that don't have IPA phonetic transcriptions.
+    The LLM prompt and _is_spurious_change() guard against unwanted changes.
     """
     en = entry.get("english", "") or ""
     de = entry.get("german", "") or ""
-    ex = entry.get("example", "") or ""
 
     # Skip completely empty entries
     if not en.strip() and not de.strip():
         return False
-    # Skip entries with IPA/phonetic brackets — dictionary-corrected, no OCR digits expected
+    # Skip entries with IPA/phonetic brackets — dictionary-corrected, LLM must not touch them
     if _HAS_PHONETIC_RE.search(en) or _HAS_PHONETIC_RE.search(de):
         return False
-    # Only review if at least one field has a digit-in-word pattern
-    combined = f"{en} {de} {ex}"
-    return bool(_OCR_DIGIT_IN_WORD_RE.search(combined))
+    return True
 
 
 def _build_llm_prompt(table_lines: List[Dict]) -> str: