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Systematically reduce AIGC detection rates in academic papers (Chinese/English). Analyzes detection reports, identifies high-impact sections, applies multi-layer rewriting strategies preserving formatting/footnotes, and verifies results. Supports 维普/知网/Turnitin platforms.
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| name | reducing-aigc-detection |
| description | Systematically reduce AIGC detection rates in academic papers (Chinese/English). Analyzes detection reports, identifies high-impact sections, applies multi-layer rewriting strategies preserving formatting/footnotes, and verifies results. Supports 维普/知网/Turnitin platforms. |
| user-invocable | true |
| allowed-tools | Bash, Read, Write, Edit, Agent, WebSearch, WebFetch |
| argument-hint | <docx-path> [--report <pdf-path>] [--platform weipu|cnki|turnitin] [--target <percentage>] |
| aliases | reduce-aigc, aigc-fix, lower-aigc |
检测器追的是统计均匀性，反检测的本质是重新注入人类写作天然的 variance 和 imperfection。
| 场景 | 使用 | 说明 |
|---|---|---|
| AIGC 检测报告显示高于红线 | YES | 核心场景 |
| 论文提交前预防性降 AI | YES | 不需要检测报告 |
| 已有 AI 辅助写作的论文需要人性化 | YES | 最佳实践 |
| 纯人工写作但误判率高 | YES | 可针对性微调 |
| 想批量处理多份文件 | NO | 每篇需要定制化处理 |
| 指标 | 含义 | AI 文本特征 | 人类文本特征 |
|---|---|---|---|
| Perplexity（困惑度） | 文本可预测性 | 极低（<30） | 中高（60-120） |
| Burstiness（突发性） | 句长变化幅度 | 极低，句长均匀 | 高，长短交替 |
| Token 概率分布 | high-prob token 占比 | >85% | <70% |
| 平台 | 特殊机制 | 关键应对 |
|---|---|---|
| 维普 | 章节加权（摘要 1.8x，引言/结论 1.5x）；拼接预警（风格断层 +10-15%） | 优先改摘要；全文风格一致 |
| 知网 | 3.0+ 分析论证深度曲线；4.0 标注"结构工整度过高" | 制造浅→深螺旋节奏 |
| Turnitin | 2025.8 可识别 humanizer 工具痕迹 | 不用洗稿工具，手动改写 |
优先级 = AIGC率 × 章节字数 × 平台权重系数
| AIGC 率 | 策略 | 改动幅度 |
|---|---|---|
| >80% | 整段重写 | 保留核心论点，彻底换表达 |
| 40-80% | 重点改写 | 换骨架、注入个人经验、打碎并列 |
| 20-40% | 局部手术 | 替换 AI 特征词、打断过渡链、加短句 |
| <20% | 微调或不动 | 仅修复明显 AI 模板词 |
第一层：结构层（降 60-70%，最高优先）
第二层：词汇层（降 10-15%，配合第一层）
中文 AI 高频触发词黑名单（必须替换或删除）：
值得注意的是 / 综上所述 / 不可否认 / 首先…其次…最后
研究表明 / 结果显示 / 此外 / 总之 / 不仅…而且
主要体现在N个方面 / 具有重要意义 / 发挥着重要作用
在…方面 / 与此同时 / 一方面…另一方面
英文 AI 高频触发词黑名单：
delve(s) / furthermore / moreover / it is important to note
comprehensive / multifaceted / nuanced / landscape / underscores
in conclusion / this report hopes to / integrates...with
The X section explains/introduces/presents/summarizes (mechanical parallelism)
替换策略：不是换同义词，是换句式。「研究表明X」→ 引具体作者年份样本量。
第三层：内容注入（最难被检测）
docx 编辑策略：
| 段落类型 | 编辑方式 | 理由 |
|---|---|---|
| 无脚注/无特殊格式 | replace_full_para() — 设 Run 0 新文本，清空其余 | 安全快速 |
| 含脚注引用 [N] | Run 级替换 — 仅改非 superscript runs | 保留脚注 |
| 含 bold/italic 段中格式 | Run 级替换或 XML 层编辑 | 保留格式标记 |
| 含图表引用 | 仅改文字 runs，不动图表 XML | 防止引用断裂 |
python-docx 段落替换模板：
def replace_full_para(para, new_text):
"""整段替换，保留首 run 格式。仅用于无脚注段落。"""
if not para.runs:
return
para.runs[0].text = new_text
for r in para.runs[1:]:
r.text = ''
Run 级替换模板（保留脚注）：
# 先扫描确认哪些 runs 是脚注（superscript=True）
for j, r in enumerate(para.runs):
if r.font.superscript:
continue # 不动
if '目标文本片段' in r.text:
r.text = r.text.replace('目标文本片段', '替换文本')
改写后必须检查：
| 操作 | 为什么无效 |
|---|---|
| 仅做同义词替换 | 句式结构未变，知网 3.0 直接穿透，仅降 5-10% |
| 只改标红段落不管上下文 | 风格断层触发维普拼接预警，反而加分 |
| 用 humanizer/洗稿工具 | Turnitin 2025.8 已可识别工具痕迹 |
| AI 改 AI 不换 prompt 策略 | 输出仍在 AI 分布内，等于原地踏步 |
| 插入特殊 Unicode 字符 | 所有主流平台已修补 |
| 中→英→中互翻 | 仅降 15%，且翻译腔本身可能触发 |
| 越改越正式/书面 | 越规整越像 AI |
| 先降查重后降 AI | 顺序错误——查重修改会引入新 AI 特征 |
| 层级 | 典型要求 |
|---|---|
| C9 / 顶尖 985 | <10-15% |
| 211 院校 | 15-25% |
| 普通本科 | 20-30% |
| 硕博论文 | <=10% |
【战场态势】各章节 AIGC 率 + 优先级排序
【改写方案】每章节策略（整段重写 / 局部手术 / 微调 / 不动）
【执行结果】改动清单 + 脚注保留确认
【预估效果】各章节预估改后 AIGC 率
【复检建议】下一步行动