docs(usermanuals): say what the medical-qa-tr template really enables

CHANGELOG.md

@@ -68,6 +68,8 @@ All notable changes to ForgeLM are documented here.
 
 ### Fixed
 
+- Correct the `medical-qa-tr` row of the YAML templates reference (English and Turkish): the template enables no safety
+  evaluation and no `risk_assessment`, so it no longer says it ships with both pre-wired (#97).
 - Fix the KTO bullet on the Alignment overview user-manual page (English and Turkish): it named the
   fields `(prompt, response, good?)`, but the KTO loader reads `prompt`, `completion` and a boolean
   `label` (#965).

docs/usermanuals/en/reference/yaml-templates.md

@@ -23,7 +23,7 @@ The five templates and the user journey each one optimises for:
 | `customer-support` | SFT | Multi-turn helpful + safe assistant — the most common production pattern. |
 | `code-assistant` | SFT | Code-completion / pair-programming model. |
 | `domain-expert` | SFT | BYOD (Bring Your Own Dataset) on a domain-specific corpus. |
-| `medical-qa-tr` | SFT | Turkish-language medical QA (regulated domain — ships with `risk_assessment` + safety eval pre-wired). |
+| `medical-qa-tr` | SFT | Turkish-language medical QA (regulated domain — the sample answers carry a safety disclaimer, but the template enables no safety evaluation and has no `risk_assessment` metadata. It is not for clinical decision support, and adding these does not change that; before any use beyond a demo, set `evaluation.safety.enabled: true` and fill in the top-level `risk_assessment:` block accurately). |
 | `grpo-math` | GRPO | Reward-model fine-tuning on math benchmarks (built-in format/length reward shaping). |
 
 The canonical template content is **the source of truth** — it is what

docs/usermanuals/tr/reference/yaml-templates.md

@@ -23,7 +23,7 @@ Beş şablon ve her birinin optimize ettiği kullanıcı yolu:
 | `customer-support` | SFT | Multi-turn yardımcı + güvenli asistan — en yaygın production pattern. |
 | `code-assistant` | SFT | Kod-tamamlama / pair-programming modeli. |
 | `domain-expert` | SFT | Domain-spesifik corpus üzerinde BYOD (Bring Your Own Dataset). |
-| `medical-qa-tr` | SFT | Türkçe tıbbi soru-cevap (regüle alan — `risk_assessment` + safety eval ön-bağlı ship olur). |
+| `medical-qa-tr` | SFT | Türkçe tıbbi soru-cevap (regüle alan — örnek cevaplar bir güvenlik uyarısı taşır, ama şablon güvenlik değerlendirmesini etkinleştirmez ve `risk_assessment` metadata'sı içermez. Klinik karar desteği için değildir ve bunları eklemek bunu değiştirmez; demo dışındaki bir kullanımdan önce `evaluation.safety.enabled: true` yap ve en üstteki `risk_assessment:` bloğunu doğru biçimde doldur). |
 | `grpo-math` | GRPO | Matematik benchmark'ları üzerinde reward-model fine-tuning (yerleşik format/length reward shaping). |
 
 Kanonik şablon içeriği **doğruluk kaynağıdır** — `forgelm quickstart`'ın