test(search): regenerate lexical_snapshot_run_1 for V009 BM25 distribution

V009 FTS5 tokenizer 가 trigram → unicode61 + tokenized_korean_text
column 로 갱신되면서 BM25 IDF 계산이 변화 → fusion_score 의 부동
소수점 값이 미세하게 다름 (히트 순서·snippet·구조 동일). S1 머지
직후 update 누락되었던 snapshot 을 V009 baseline 으로 regenerate.

회귀 없음: `cargo test -p kebab-search --test lexical lexical_snapshot_run_1 -j 4`
exit 0.

Spec: docs/superpowers/specs/2026-05-28-v0.20.x-korean-morphological-tokenizer-spec.md §11.3
Plan: docs/superpowers/plans/2026-05-28-v0.20.x-korean-morphological-tokenizer-plan.md (S1 follow-up via S7 reviewer)

crates/kebab-search/tests/fixtures/search/lexical/run-1.json

@@ -19,9 +19,9 @@
     "indexed_at": "2024-01-01T00:00:00Z",
     "rank": 1,
     "retrieval": {
-      "fusion_score": 1.4615362715630908e-6,
+      "fusion_score": 1.4490997273242101e-6,
       "lexical_rank": 1,
-      "lexical_score": 1.4615362715630908e-6,
+      "lexical_score": 1.4490997273242101e-6,
       "method": "lexical",
       "vector_rank": null,
       "vector_score": null
@@ -51,9 +51,9 @@
     "indexed_at": "2024-01-01T00:00:00Z",
     "rank": 2,
     "retrieval": {
-      "fusion_score": 9.207039965986041e-7,
+      "fusion_score": 9.641424867368187e-7,
       "lexical_rank": 2,
-      "lexical_score": 9.207039965986041e-7,
+      "lexical_score": 9.641424867368187e-7,
       "method": "lexical",
       "vector_rank": null,
       "vector_score": null