Skill UI

This guide outlines the mandatory open data and code requirements for publishing in Global Change Biology (GCB). It details that primary and secondary data, along with supporting code/software, must be archived in public, DOI-minting repositories (e.g., Dryad, Zenodo) prior to acceptance. It emphasizes that 'available on request' is not accepted and provides a structured checklist for ensuring reproducibility and proper metadata submission.

This comprehensive guide provides a structured strategy for handling major scientific manuscript revisions and writing professional rebuttal letters. It instructs authors on how to systematically address every reviewer concern—especially regarding mechanism, scale, uncertainty, and reproducibility—while ensuring the revised manuscript remains perfectly synchronized with the archived data and code.

A comprehensive preflight checklist designed for submitting manuscripts to academic journals (e.g., Human Relations). It guides authors through critical pre-submission requirements, ensuring compliance with double-anonymity, strict word limits, SAGE Harvard citation style, structured abstracts, and mandatory declarations (AI use and data transparency). Use this tool to validate your manuscript before submission and minimize desk rejections.

Details the rigorous, structured review process for ICDT (International Conference on Database Theory). The model emphasizes that referees scrutinize proof correctness, not just novelty. It guides authors through the two-cycle submission process, explaining the strategic implications of Accept, Revise, and Reject decisions to ensure deep theoretical foundations.

A comprehensive framework for strengthening International Relations (IR) manuscripts, particularly for top-tier journals. It guides researchers through rigorous design requirements, including causal identification in dyadic/network data, structured case selection and process tracing, experimental planning (surveys/conjoint), and formal-empirical linkages. The focus is on ruling out rival explanations and establishing robust empirical claims.

This comprehensive guide details the rigorous process of transforming a submitted ITCS paper into the final, open-access LIPIcs camera-ready version. It covers critical steps including switching to the required `lipics-v2021` LaTeX class, fully re-attributing author identity (names, ORCIDs, funding), completing structured metadata (ACM CCS, keywords), incorporating reviewer-suggested fixes, and ensuring compliance with strict production standards set by the Dagstuhl editorial office.

This skill guides authors in transforming raw experimental data into a compelling, logically structured scientific narrative suitable for top-tier journals like JACS. It teaches how to explicitly define the 'chemical advance' by building an evidence-backed claim chain: Problem $ ightarrow$ Advance $ ightarrow$ Evidence $ ightarrow$ Significance. It ensures that every claim of novelty is rigorously supported by data and compares the work explicitly against the closest prior art.

This comprehensive router guides researchers through the entire process of developing, analyzing, and submitting a manuscript to the Journal of Accounting and Economics (JAE). It provides a structured roadmap, helping users determine the next critical step—from initial topic selection and theory development to advanced econometrics, contribution framing, and final submission preparation. It ensures that the work maintains a rigorous, economics-based argument using archival data, preventing common pitfalls like vague ideas or insufficient identification strategies.

A comprehensive guide for writing and auditing scientific manuscripts according to JAMA standards. It enforces the proper structured headings (e.g., Importance, Objective, Results) and mandates the inclusion of quantitative data like effect sizes and 95% Confidence Intervals (CIs). This skill ensures the abstract and Key Points are concise, consistent, and highly focused on primary outcomes.

This router is designed to guide authors through the entire, highly structured process of developing and submitting an academic manuscript specifically to the Journal of Accounting Research (JAR). It does not perform the research itself but acts as a decision tool, directing the user to the next most appropriate specialized skill—whether it's refining the core topic, strengthening the economic theory, executing data analysis, or drafting a rebuttal response—ensuring a coherent and high-quality research workflow.

This guide provides a structured protocol for authors writing methods papers in statistics or econometrics. It teaches how to define the precise 'delta' (incremental contribution) of a new method by explicitly referencing 3-6 existing state-of-the-art techniques. It emphasizes positioning the work across both traditional econometric theory and modern machine learning/data science literature, ensuring the contribution is clearly stated against named prior methods, not as a general survey.

This comprehensive guide provides a structured framework for building and auditing empirical data and estimation pipelines in finance and banking research. It covers data construction from various sources (e.g., CRSP, Call Reports), advanced econometric techniques like fixed effects and winsorization, conducting stress tests (e.g., crisis periods, large banks), and ensuring full reproducibility. It emphasizes reporting results with meaningful economic magnitudes.