Skill UI

This guide helps researchers assess if a corporate finance question is suitable for the Journal of Corporate Finance (JCF). It provides a framework to determine if the topic fits the journal's empirical or theoretical remit (e.g., governance, M&A, financial structure) and advises on the optimal article format (full-length vs. shorter paper). It serves as a critical self-check against common academic rejection pitfalls.

A comprehensive guide to establishing credible causal identification in empirical law and economics (L&E). It addresses the high institutional bar required by top journals, detailing how to defend the source of variation (e.g., reforms, governance choices, court assignments) against common threats like endogenous timing, selection bias, and omitted variables. Covers advanced methods including staggered Difference-in-Differences (DiD), Instrumental Variables (IV), and Regression Discontinuity Design (RDD).

This guide helps authors refine academic prose for institutional and organizational economics journals. It teaches how to structure the narrative to open with an institutional puzzle, clearly name the underlying mechanism, and frame the contribution as a delta on a specific frontier, ensuring the focus remains on governance and organizational forms rather than just data or models.

This comprehensive skill guides authors through the rigorous process of assessing whether a corporate finance manuscript is suitable for the Journal of Corporate Finance (JCF) or related elite venues. It covers topic scope (governance, M&A, capital structure), methodological requirements (causal identification, endogeneity), structural best practices, and provides a detailed, step-by-step checklist for pre-submission self-review and alternative venue routing.

This guide provides detailed submission criteria and academic positioning for the Journal of Shanghai University of Sport. The journal is a top-tier CSSCI publication that emphasizes sports social sciences, governance, public policy, and industry economics. It requires theoretical depth, rigorous methodological standards, and strong theoretical dialogue, guiding researchers away from pure case studies or simple policy recommendations.

This guide assists researchers in scoping their academic questions to ensure alignment with specialized journals like Research Policy. It provides detailed criteria for determining if a study focuses on the emergence, diffusion, or governance of innovation systems, rather than purely economic or strategy-focused outcomes. Use it to frame your work to speak directly to innovation scholars and policymakers.

This specialized skill guides authors through the rigorous academic requirements for submitting manuscripts to the Shanghai Journal of Economics. It helps users assess whether their work aligns with the journal's focus areas—such as urban governance, industrial transformation, and the Yangtze River Delta economy—and provides heuristics for structuring, framing, and enhancing the manuscript's academic contribution.

Designed for regulated environments (GxP/GCP), this skill generates and verifies audit trails compliant with 21 CFR Part 11 standards. It ensures every data processing step leaves an attributable, time-stamped, and tamper-evident record, providing electronic signatures and robust data integrity checks (ALCOA+). It is essential for clinical trials and regulated data governance.

This skill audits OpenMed NER or de-identification models to detect performance disparities across sensitive demographic subgroups (e.g., sex, age, race). It calculates metrics like per-group recall and leakage disparity, helping users identify instances of 'under-protection' before deployment, ensuring equitable AI governance and compliance.

This skill automates the creation of comprehensive Model Cards for OpenMed clinical NER or de-identification models. It gathers data from various OpenMed evaluation reports (e.g., `GateReport`, `fairness_report`, `error_report`) to structure critical governance information, including intended use, quantitative performance metrics, subgroup analysis, limitations, and required medical-device disclaimers. It ensures documentation is reproducible and compliant for clinical AI deployment.

Creates an Agent Authority Charter to define permissions, delegation, approvals, escalation, and audit requirements for AI agents before enterprise or regulated deployment. Helps legal, compliance, risk, and product teams document what an agent may and may not do, prepare for human review, and ensure auditable governance across the agent lifecycle.

Audits AI-assisted legal, compliance, governance, and institutional decisions before reliance to determine whether the responsible human or institution has enough access to evidence, reasoning, uncertainty, authority, and review path to genuinely own the decision rather than merely approve, sign, or transmit it.