figure-results-review

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English

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Chinese

Figure Results Review

实验图表结果审查

Purpose

目的

Help the user present experimental results clearly and scientifically. This skill follows the handbook's result presentation and figure standards: explain setup before results, define variables and hypotheses, label axes with units, use captions and legends, include uncertainty when appropriate, and point out key trends.

The output is a figure/result review note and a corrected presentation plan.

帮助用户清晰、科学地展示实验结果。此技能遵循手册中的结果展示和图表标准：在展示结果前先说明实验设置，定义变量和假设，为坐标轴标注单位，使用标题和图例，酌情包含不确定性信息，并指出关键趋势。

输出内容为图表/结果审查笔记和修正后的演示方案。

When to Use

使用场景

User has plots, tables, or result slides to show
User wants feedback on a figure
User is preparing experimental results for a paper or talk
User is unsure how to explain a result
User wants to check whether a plot is publication-ready

用户拥有需要展示的图表、表格或结果幻灯片
用户希望获取对某一图形的反馈
用户正在为论文或演讲准备实验结果
用户不确定如何解读某一结果
用户想要检查某一图表是否达到发表标准

Workflow

工作流程

Stage 1: Establish the Result Context

阶段1：明确结果背景

Ask:

What claim is this result meant to support?
What is the experimental setup?
What are the baselines?
What metrics are used?
What should the audience notice first?

Do not review aesthetics before the scientific claim is clear.

询问以下问题：

该结果旨在支持何种结论？
实验设置是什么？
使用了哪些Baselines？
采用了哪些Metrics？
首先需要让受众注意到什么？

在明确科学结论前，不要审查图表的美观性。

Stage 2: Figure Checklist

阶段2：图表检查清单

For each figure, check:

Descriptive title
X-axis label with units
Y-axis label with units
Legend for all symbols/colors
Readable font size
Accessible color scheme
Error bars or confidence intervals where appropriate
Caption explains what is shown and what to conclude
Scale/range does not distort the comparison
Consistent model colors and ordering across subplots

针对每个图表，检查以下内容：

描述性标题
带单位的X轴标签
带单位的Y轴标签
所有符号/颜色对应的图例
易读的字体大小
易访问的配色方案
酌情添加误差棒或置信区间
标题说明展示内容及结论
刻度/范围不会扭曲对比效果
子图间保持一致的模型颜色和排序

Stage 3: Results Interpretation

阶段3：结果解读

Ask the user to state:

Main trend
Quantitative effect size
Comparison to baseline
Whether it confirms or contradicts the hypothesis
Plausible confounders
Negative or surprising findings

If the user says "it improves performance," push for exact metric deltas and conditions.

请用户说明：

主要趋势
量化效应量
与Baseline的对比
是否验证或推翻假设
可能的混杂因素
负面或意外发现

如果用户仅表示“性能有所提升”，要求其提供具体的指标差值和条件。

Stage 4: Presentation Sequence

阶段4：演示顺序

Create a speaking order:

Experimental setting
Variables and metrics
Hypothesis
Figure caption in plain language
Axes and legend
Main trend
Takeaway and limitation

This prevents the common mistake of jumping straight to a plot and forcing the audience to decode it.

制定讲解顺序：

实验设置
变量与指标
假设
用通俗语言解释图表标题
坐标轴与图例
主要趋势
结论与局限性

这避免了直接展示图表、迫使受众自行解读的常见错误。

Stage 5: Produce the Artifact

阶段5：生成成果文件

Save to

~/phd-log/results/YYYY-MM-DD-[short-topic].md

markdown

undefined

保存至

~/phd-log/results/YYYY-MM-DD-[short-topic].md

。

markdown

undefined

Figure / Results Review — [Short Topic]

Claim

[What this result is meant to support]

Experimental setup

Dataset:
Baselines:
Metrics:
Variables:
Hypothesis:

Dataset:
Baselines:
Metrics:
Variables:
Hypothesis:

Figure checklist

Figure	Issue	Fix	Priority

Figure	Issue	Fix	Priority

Interpretation

Main trend:
Effect size:
Baseline comparison:
Confounders:
Negative/surprising results:
Takeaway:

Main trend:
Effect size:
Baseline comparison:
Confounders:
Negative/surprising results:
Takeaway:

Presentation script

Setup:
Metric:
Hypothesis:
Figure explanation:
Trend:
Limitation:
Next step:

Setup:
Metric:
Hypothesis:
Figure explanation:
Trend:
Limitation:
Next step:

Fix list

[figure/result fix]

undefined

[figure/result fix]

undefined

Tone

语气

Be exacting. A beautiful figure that does not explain the setup or claim is not ready.

严格严谨。若一个图表未说明实验设置或结论，即使美观也不算合格。

What Not to Do

禁忌事项

Do not accept unlabeled axes.
Do not let the user present a result without the experimental setting.
Do not infer a causal claim from a weak comparison.
Do not hide negative results when they clarify the research direction.

不接受未标注的坐标轴。
不允许用户在未说明实验设置的情况下展示结果。
不允许从薄弱对比中推断因果结论。
当负面结果能明确研究方向时，不得隐瞒。