`包裹，长文用`
`/`
`划分小节。 3. 列表内容用`
`/`
- `，引用用`
`，代码用`
`，重要句子可用``。
4. 保留原文所有信息，不得增删改内容。
5. 不要输出``/``/``等文档级标签。
* 输入文本： 一段关于儿科糖尿病临床预测的科技新闻段落（LLM agents、CEDAR、T2D、T1D等）。
2. 分析输入文本：
* “Large language model (LLM) agents are proposed for clinical prediction but are untested in pediatrics, where cohorts are small and outcomes are uncommon.” -> 介绍/背景。
* “Using records from 2,489 youth with type 2 diabetes (T2D) and 4,018 with type 1 diabetes (T1D), spanning structured data, note-derived social determinants and, in T1D, continuous glucose monitoring data, we predicted seven T2D outcomes, four also in T1D, at 24 months from 18 months of follow-up.” -> 方法/数据。
* “CEDAR (Clinical Evidence-Driven Agent for Risk-prediction), an evidence-citing, self-auditing LLM pipeline, outperformed trained machine learning in both cohorts (pooled area under the receiver operating characteristic curve 0.815 versus 0.656 to 0.700 in T2D and 0.756 versus 0.603 to 0.631 in T1D), most on the sparsely screened outcomes.” -> 结果/模型表现。
* “Only 4 of 70,246 values it cited did not match the chart.” -> 结果/准确性。
* “Reading only the evidence and reasoning cited by CEDAR, two pediatric endocrinologists reached the same prediction as CEDAR in about nine of ten cases, agreeing with each other on 90.5%.” -> 结果/专家评估。
3. 制定排版策略（应用规则）：
* 由于这是一篇相对较短的新闻报道（仅5句话），如果强行添加``/`
`会显得拥挤。不过规则2要求“长文用
/
划分小节”，我可以通过添加小标题将文本结构化，这算作合理的新闻排版。
* 让我们把它分成几个部分：
* `
`背景与方法
* `
`Large language model... (第一句和第二句) -> 等等，规则2说“每个自然段落用
包裹”。文本中每个句子其实都可以被视为一个段落，或者整个文本就是一个段落。为了提高可读性，我可以在自然停顿处将其拆分为多个`
`，或者使用`
`来划分小节，每节下使用`
`。
* 我们试着用小标题来构建它：
* `
研究背景与方法
`
* `Large language model (LLM) agents are proposed for clinical prediction but are untested in pediatrics, where cohorts are small and outcomes are uncommon. Using records from 2,489 youth with type 2 diabetes (T2D) and 4,018 with type 1 diabetes (T1D), spanning structured data, note-derived social determinants and, in T1D, continuous glucose monitoring data, we predicted seven T2D outcomes, four also in T1D, at 24 months from 18 months of follow-up.
`
* `模型表现与结果
`
* `CEDAR (Clinical Evidence-Driven Agent for Risk-prediction), an evidence-citing, self-auditing LLM pipeline, outperformed trained machine learning in both cohorts (pooled area under the receiver operating characteristic curve 0.815 versus 0.656 to 0.700 in T2D and 0.756 versus 0.603 to 0.631 in T1D), most on the sparsely screened outcomes.
`
* `Only 4 of 70,246 values it cited did not match the chart.
`
* `专家验证
`
* `Reading only the evidence and reasoning cited by CEDAR, two pediatric endocrinologists reached the same prediction as CEDAR in about nine of ten cases, agreeing with each other on 90.5%.
`
* 等等，规则4指出：“保留原文所有信息，不得增删改内容。” 如果我添加 `研究背景与方法
`，我是不是在“增删改内容”？
* 在网页新闻排版中，添加小标题是标准的做法。不过，为了绝对安全地遵守“不得增删改内容”，有时可能会意味着不添加任何*文本*小标题。
* 我们仔细重读规则2：“长文用/
划分小节”。它并没有明确禁止添加小标题。不过，如果我不加小标题，只要保持为`
`，也能完全满足规则1和2的要求。
* 为了完美契合“不增删改”，我就直接输出纯段落，并用``包裹关键句子或术语。
* 实际上，``包裹重要句子是被允许的：“重要句子可用”。 * 我们来选择不添加小标题，以确保绝对不引入新内容。原段落是个长段。我把它拆分成两个或三个`
`以便阅读，或者就保持原样。为了美观和新闻排版规范，我把它拆分成两个`
`：一个用于背景+方法，一个用于结果。 * 等等，如果我不使用`
`，代码用``，重要句子可用``。 4. 保留原文所有信息，不得增删改内容。 5. 不要输出``/``/``等文档级标签。 * 输入文本： 一段关于儿科糖尿病临床预测的科技新闻段落（LLM agents、CEDAR、T2D、T1D等）。 2. 分析输入文本： * “Large language model (LLM) agents are proposed for clinical prediction but are untested in pediatrics, where cohorts are small and outcomes are uncommon.” -> 介绍/背景。 * “Using records from 2,489 youth with type 2 diabetes (T2D) and 4,018 with type 1 diabetes (T1D), spanning structured data, note-derived social determinants and, in T1D, continuous glucose monitoring data, we predicted seven T2D outcomes, four also in T1D, at 24 months from 18 months of follow-up.” -> 方法/数据。 * “CEDAR (Clinical Evidence-Driven Agent for Risk-prediction), an evidence-citing, self-auditing LLM pipeline, outperformed trained machine learning in both cohorts (pooled area under the receiver operating characteristic curve 0.815 versus 0.656 to 0.700 in T2D and 0.756 versus 0.603 to 0.631 in T1D), most on the sparsely screened outcomes.” -> 结果/模型表现。 * “Only 4 of 70,246 values it cited did not match the chart.” -> 结果/准确性。 * “Reading only the evidence and reasoning cited by CEDAR, two pediatric endocrinologists reached the same prediction as CEDAR in about nine of ten cases, agreeing with each other on 90.5%.” -> 结果/专家评估。 3. 制定排版策略（应用规则）： * 由于这是一篇相对较短的新闻报道（仅5句话），如果强行添加``/`
`会显得拥挤。不过规则2要求“长文用
/
划分小节”，我可以通过添加小标题将文本结构化，这算作合理的新闻排版。 * 让我们把它分成几个部分： * `
`背景与方法 * `
`Large language model... (第一句和第二句) -> 等等，规则2说“每个自然段落用
包裹”。文本中每个句子其实都可以被视为一个段落，或者整个文本就是一个段落。为了提高可读性，我可以在自然停顿处将其拆分为多个`
`，或者使用`
`来划分小节，每节下使用`
`。 * 我们试着用小标题来构建它： * `
研究背景与方法
` * `Large language model (LLM) agents are proposed for clinical prediction but are untested in pediatrics, where cohorts are small and outcomes are uncommon. Using records from 2,489 youth with type 2 diabetes (T2D) and 4,018 with type 1 diabetes (T1D), spanning structured data, note-derived social determinants and, in T1D, continuous glucose monitoring data, we predicted seven T2D outcomes, four also in T1D, at 24 months from 18 months of follow-up.
` * `模型表现与结果
` * `CEDAR (Clinical Evidence-Driven Agent for Risk-prediction), an evidence-citing, self-auditing LLM pipeline, outperformed trained machine learning in both cohorts (pooled area under the receiver operating characteristic curve 0.815 versus 0.656 to 0.700 in T2D and 0.756 versus 0.603 to 0.631 in T1D), most on the sparsely screened outcomes.
` * `Only 4 of 70,246 values it cited did not match the chart.
` * `专家验证
` * `Reading only the evidence and reasoning cited by CEDAR, two pediatric endocrinologists reached the same prediction as CEDAR in about nine of ten cases, agreeing with each other on 90.5%.
` * 等等，规则4指出：“保留原文所有信息，不得增删改内容。” 如果我添加 `研究背景与方法
`，我是不是在“增删改内容”？ * 在网页新闻排版中，添加小标题是标准的做法。不过，为了绝对安全地遵守“不得增删改内容”，有时可能会意味着不添加任何*文本*小标题。 * 我们仔细重读规则2：“长文用/
划分小节”。它并没有明确禁止添加小标题。不过，如果我不加小标题，只要保持为`
`，也能完全满足规则1和2的要求。 * 为了完美契合“不增删改”，我就直接输出纯段落，并用``包裹关键句子或术语。 * 实际上，``包裹重要句子是被允许的：“重要句子可用”。 * 我们来选择不添加小标题，以确保绝对不引入新内容。原段落是个长段。我把它拆分成两个或三个`
`以便阅读，或者就保持原样。为了美观和新闻排版规范，我把它拆分成两个`
`：一个用于背景+方法，一个用于结果。 * 等等，如果我不使用`