# Example 05 — Peer Review in Science

> **AI Detection Result (Final Output):** `human` (confidence: **0.7218**)

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## Original Input (English)

Peer review remains a foundational mechanism for quality control in scientific publishing, yet it is not without limitations. Critics note issues such as reviewer bias, slow turnaround times, and inconsistent standards. Nevertheless, peer review provides a filter that often improves clarity, methodology, and replicability. Emerging models include open peer review, preprint feedback systems, and post-publication evaluation. For research institutions, improving review practices can enhance credibility and accelerate innovation cycles. In an increasingly competitive academic environment, transparent and efficient peer review not only strengthens scientific integrity but also supports broader knowledge dissemination and collaboration opportunities.

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## Step 1 — DeepSeek 中文改写 (Chinese Humanization Rewrite)

> Engine: DeepSeek (temperature 1.3) · Direction: Input → Chinese

同行评议始终是科学出版领域质量把关的基础机制，但它也存在一些局限。批评者指出审稿人可能存在偏见、流程耗时较长、标准不够统一等问题。不过，同行评议确实像一道过滤器，常常能提升研究的清晰度、方法严谨性和可重复性。近年来涌现出开放评审、预印本反馈机制和发表后评价等新模式。对科研机构而言，优化评审流程既能提升学术公信力，也能加快创新循环。在日益激烈的学术竞争中，透明高效的同行评议不仅能巩固科研诚信，还能促进更广泛的知识传播与合作机会。

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## Step 2 — DeepSeek 日语改写 (Japanese Humanization Rewrite)

> Engine: DeepSeek (temperature 1.3) · Direction: Chinese → Japanese
> Carries Step 1 as conversation history for context-aware rewriting

ピアレビューは、科学出版における品質管理の基本的なメカニズムとして常に機能してきましたが、限界も存在します。批評家は、査読者のバイアス、プロセスの長期化、基準の一貫性の欠如といった問題を指摘しています。しかしながら、ピアレビューはフィルターとして機能し、研究の明確性、方法論的厳密性、再現性を向上させることが少なくありません。近年では、オープンピアレビュー、プレプリントフィードバックメカニズム、出版後評価といった新しいモデルが登場しています。研究機関にとって、レビュープロセスの最適化は、学術的信頼性を高め、イノベーションサイクルを加速させる可能性があります。ますます熾烈になる学術競争において、透明性と効率性に優れたピアレビューは、研究の誠実性を強化するだけでなく、より広範な知識の普及と共同研究の機会を促進することにもつながります。

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## Step 3 — 一轮翻译 (First Translation Hop)

> Engine: Google Translate · Direction: Japanese → Finnish

Vertaisarviointi on aina ollut tieteellisen julkaisun laadunvalvonnan perusmekanismi, mutta sillä on myös rajoituksia. Kriitikot ovat huomauttaneet arvostelijoiden ennakkoluuloja, pitkiä prosesseja ja standardien johdonmukaisuuden puutetta. Vertaisarviointi toimii kuitenkin usein suodatinena, joka parantaa tutkimuksen selkeyttä, menetelmän tarkkuutta ja toistettavuutta. Viime vuosina on syntynyt uusia malleja, kuten avoin vertaisarviointi, esitiedon palautemekanismit ja julkaisun jälkeinen arviointi. Tutkimuslaitoksille tarkasteluprosessin optimointi voi parantaa akateemista uskottavuutta ja nopeuttaa innovaatiosykliä. Yhä kovemmassa akateemisessa kilpailussa avoin ja tehokas vertaisarviointi ei voi ainoastaan parantaa tutkimuksen eheyttä, vaan myös edistää laajempaa tiedon levitystä ja yhteistyötutkimuksen mahdollisuuksia.

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## Step 4 — 二轮翻译 (Second Translation Hop, Final Output)

> Engine: Niutrans · Direction: Finnish → English

Peer review has always been the basic mechanism for quality control of scientific publications, but it also has its limitations. Critics have pointed to critical biases, lengthy processes and a lack of consistency in standards. However, peer review often acts as a filter that improves the clarity of the study, the accuracy and reproducibility of the method. In recent years, new models have emerged, such as open peer review, pre-information feedback mechanisms and post-publication evaluation. For research institutions, optimising the review process can improve academic credibility and accelerate the innovation cycle. In the face of increasingly fierce academic competition, open and effective peer review can not only improve the integrity of research, but also promote wider dissemination of knowledge and opportunities for collaborative research.

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## Why This Worked

The 4-step chain compounds humanization signals:

1. **Steps 1–2 (DeepSeek rewrites):** Break AI statistical fingerprints with creative variation at temperature 1.3. Conversation history keeps coherence across steps.
2. **Step 3 (Google JA→FI):** Finnish is linguistically distant from English/Japanese — forces deep structural reshuffling.
3. **Step 4 (Niutrans FI→EN):** Cross-engine final hop ensures no single-engine fingerprint survives.

Detection verdict: **human** at 72.18% confidence.
