仓库/Skill 库

系统综述的主动学习摘要筛选。在全部 26 个 SYNERGY 数据集上基准测试：WSS@95 均值 64.1。Active-learning abstract screening for systematic reviews. Benchmarked across all 26 SYNERGY datasets: mean WSS@95 of 64.1.

假警报降低并非校准成果：脓毒症预测机器学习校准基线的 PRISMA 系统综述与数学分析。False-alarm reduction is not a calibration achievement: a PRISMA-compliant systematic review and mathematical analysis of calibration baselines in machine learning for sepsis prediction

中文學術寫作的後設論述量尺 · A descriptive metadiscourse scale for Chinese academic writing (not a detector)

AI 驱动的工具，根据特定研究问题分析文章并对其效用进行排序AI-powered tool that analyzes articles and ranks their utility based on a specific research question

GitHub Page 演示：服务于 2026 年文献综述的 Miscanthus 产量地图。Demonstration of GitHub Page with Miscanthus Yield mapping for Literature Review 2026

论文 "Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem" 的配图与补充材料。Figures and supplementary materials accompanying the manuscript “Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem.

将问题框架视为计算状态的可复现研究框架，包含理论、算法与基准，用于内生探究。A reproducible research framework for treating problem frames as computational states, with theory, algorithms, and benchmarks for endogenous inquiry.

Screened——系统综述的双筛选员标题/摘要筛选日志。Cursor/Claude skill 加离线工作表。科研运营，非临床诊疗Screened — dual-screener title/abstract screening logs for systematic reviews. Cursor/Claude skill + offline worksheet. Research ops, not care.

面向 MetaTrader 5 的可配置开盘区间突破 EA，附带可复现的研究 harness；所有参数均为输入项，兼容 Windows 与 Linux/WineConfigurable opening-range breakout EA for MetaTrader 5, with a reproducible research harness. Every parameter is an input; runs on Windows and Linux/Wine.

用于 Bosniak 分级可重复性系统综述与 meta 分析的数据及 R 代码Data and R code for the systematic review and meta-analysis of Bosniak classification reproducibility

人工智能（AI）已成为提升乳腺 X 线摄影对乳腺癌诊断准确性的潜力工具。本系统综述与荟萃分析旨在探讨 AI 与放射科医生通过乳腺 X 线摄影检测乳腺癌的准确性。Artificial intelligence (AI) has emerged as a promising tool to improve the diagnostic accuracy of 49 mammography for breast carcinoma detection. This systematic review and meta-analysis aim to 50 explore the accuracy of AI and radiologists in breast carcinoma detection via mammography

可复用的 Python 与 notebook 工作流，用于多语言科研数据准备、统计分析及 AI 文本检测器评估。Reusable Python and notebook workflows for multilingual research-data preparation, statistical analysis, and AI-text detector evaluation.