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开发阶段案例 · 模型盲评尚待独立人工复核，不代表正式 Benchmark 结论。
自动补全持平6 / 162 · 7dce670e0a924e05

Metagenomic Analysis using Phylogenetic Placement -- A Review of the First Decade

定量生物学 · 2202.03534v2

FLOWING EVIDENCE BENCHMARK

怎么判断 Evidence 真的有帮助？

核心问题是：在同一写作位置、使用同一模型和任务时，提供检索文献片段会怎样改变首次输出？我们成对比较两种条件，保留持平、不可用和评审未完成的结果。

同一段原稿 · 比较是否提供 Evidence

01 · 固定写作位置

论文原稿

同一处写作点位 ▌

同一原稿位置的自动补全成对比较

02 · 构造两组输入

两组共用

原稿上下文、模型、任务和提示词

A · 提供 Evidence

额外提供检索文献片段

B · 不提供 Evidence

不提供检索文献片段

LLM

同一模型、同一版本

A → 首次输出

B → 首次输出

盲评 Agent

匿名标记两份首次输出为 X、Y

按续写质量判断：准确性、任务贴合度和可用性
输出：X 更优 / 持平 / Y 更优 / 两组均不可用

换序复评：X / Y → Y / X

盲评具体怎么判？

① 匿名两份输出
评审看到同一原稿和两份首次输出，但不知道哪份用了 Evidence。

② 比较并换序复评
根据当前任务的标准，按 X/Y、再按 Y/X 的顺序各评一次。

③ 复核分歧
两次结论不一致时再做第三次判定；未完成的评审也留在分母。

自动补全点位怎样分层？

在查看生成结果前，先核查检索片段是否含有能直接支撑下一步续写的具体命题；有则放在左侧机会组，否则放在右侧普通组。每个学科从可准入论文中均衡选取两组点位。50/50 是实验设计，不代表真实写作中两类点位各占一半。

AUTOCOMPLETE · 110

定量生物学、统计学、天体物理学

左侧 55 个、右侧 55 个点位；统计学采用 10 篇论文的复测结果。

AUTOCOMPLETE · 52

心理学与气候科学

左侧 26 个、右侧 26 个点位；心理学计入 9 篇，气候科学计入 4 篇。

表格里的百分比怎么算？

五学科共有 81 个左侧点位，其中 51 个点位的 Evidence 版本获评更优。持平、两组均不可用和评审未完成的点位仍计入分母。

51Evidence 版本更优
÷
81该层全部点位
=
63%该层 Evidence 获评更优的比例

来源贡献是另一项复核：已进入复核的 22 个 Evidence 获胜点位中，16 个确认直接使用了检索论文；另有 29 个胜出点位尚待复核。

当前是开发阶段的模型评审结果，尚未完成独立人工复核；这些数字不代表正式 Benchmark 结论，也不能单独证明因果关系。

原稿写作位置

原文摘录 · 非 PDF 页面

研究论文 · 原文片段

Metagenomic Analysis using Phylogenetic Placement -- A Review of the First Decade

1 Introduction

…utionary relationships between these query sequences and the reference species/sequences, and thus go beyond simple species identification. Phylogenetic placement has found applications in a variety of situations, such as data cleaning and retention ( Mahe2017 ) , inference of new clades ( Dunthorn2014 ; Bass2018a ) , estimation of ecological profiles ( Keck2018 ) , identification of low-coverage genomes of viral strains ( Muhlemann2020a ) , phylogenetic analysis of viruses such as SARS-CoV-2 ( Morel2020sars ; Turakhia2021 ) , and in clinical studies of microbial diseases ( Srinivasan2012 ) .

When analyzing the resulting data, there are two complementary interpretations of phylogenetic placement: (1) as a set of individual sequences, placed with respect to the reference phylogeny, e. g., for taxonomic assignment, phylo-geographic tracing, or even possible clinical relevance; (2) as a combined distribution of sequences on the tree, characterizing the sampled environment at a given point in time or space to examine the composition of a species community as a whole, for instance as a means of sample ordination and visualization, and association with environmental variables.

↓ 此处生成下一段续写

黄色标出写作点位附近的原文；本页根据评测输入重排文本，不是原始 PDF 截图。

同一写作位置的成对对照盲评结果：持平

两组使用同一模型、同一写作任务和原稿上下文，仅比较是否提供检索文献片段。下方展示评测记录中的首次输出。

Evidence

同一模型与写作位置 · 提供检索文献片段 · 首次输出

These two interpretations are not mutually exclusive, and many placement-based studies move between them, using individual placements to validate or interpret the aggregate distribution and vice versa. The choice of interpretation also shapes downstream analysis, since per-sequence placements support taxonomic and phylogenetic questions while the combined distribution supports community-level comparisons across samples.

提供给 Evidence 版本的文献片段

Minimizing the number of optimizations for efficient community dynamic flux balance analysis

Here, we show that a basis for the space of internal fluxes can be chosen for each microbe in a community and this basis can be used to simulate forward by solving a relatively inexpensive system of linear equations at most time steps, instead of the full optimization problem. Using our method, we c…

展开完整文献摘录

Here, we show that a basis for the space of internal fluxes can be chosen for each microbe in a community and this basis can be used to simulate forward by solving a relatively inexpensive system of linear equations at most time steps, instead of the full optimization problem. Using our method, we can use this solution as long as the resulting metabolic activity remains within the optimization problem’s constraints (i.e. the solution remains feasible). As the solution becomes infeasible, it first becomes a feasible but degenerate solution to the optimization problem, and we can solve a different but related optimization problem to choose an appropriate basis to continue forward simulation. We show using an eight species community that this is an efficient and robust method for computing dynamic flux balance analysis simulations, and so is capable of simulating communities of organisms.

无 Evidence

同一模型与写作位置 · 不提供检索文献片段 · 首次输出

These two interpretations are not mutually exclusive, and many placement-based studies move between them, using individual placements to validate or interpret the aggregate distribution and vice versa. The choice of interpretation also shapes downstream analysis, since per-sequence placements support taxonomic and phylogenetic questions while the combined distribution supports community-level comparisons across samples.

模型盲评结论

模型盲评没有判定任一组更优。

查看模型评审原始理由（英文）

Both outputs are identical. They provide a coherent continuation that logically extends the draft's discussion of two complementary interpretations of phylogenetic placement. The paragraph correctly notes that the interpretations are not mutually exclusive, describes how studies move between them, and explains how the choice shapes downstream analysis—connecting per-sequence placements to taxonomic/phylogenetic questions and combined distributions to community-level comparisons. This is a natural, grounded extension of the draft's framework without introducing unsupported claims, invented citations, or manuscript-specific methods/results. The source provided is irrelevant to this topic (it concerns flux balance analysis), but neither output attempts to use it, which is appropriate. No citation markers are generated. Both outputs are equally usable.

文献片段是输入材料；出现于此不代表输出使用了它，也不代表它能够支持全部主张。原文与检索片段经过截取；页面没有展示模拟分数或模拟 PDF。