القائمة
Orchestration for bibliometrics, topological network analysis, and hypothesis scoring.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Core inference logic, prompt construction, and RDF/Nanopublication serialization.
Core orchestration guidelines and MCP interactions for the src/ library.
Literature meta-analysis exemplar — multi-engine retrieval, dedup, full-text, bibliometrics, embeddings, optional knowledge graph. Default term: modafinil.
Operations for federated API querying across OpenAlex, Semantic Scholar, and arXiv.
Tooling for injecting JSON/CSV statistics into Markdown evaluation templates.
Orchestrates matplotlib and seaborn pipelines for rendering figures.
| name | Statistical & Metric Analysis |
| description | Orchestration for bibliometrics, topological network analysis, and hypothesis scoring. |
You are interacting with the src/analysis/ module of the Meta-Analysis project. This layer transforms raw literature and structured knowledge graph edges into quantifiable metrics.
random_seed=42 across any clustering, layout algorithms (e.g. UMAP/t-SNE if added), or network metrics (Louvain community detection) to ensure reproducible builds.