Skill UI

This skill provides comprehensive guidance on adhering to PMLA (Publications of the Modern Language Association) style, utilizing the most recent MLA Handbook. It covers the mechanics of academic writing, including creating in-text parenthetical citations, building a Works Cited list from core elements, and correctly formatting quotations, translations, and discursive notes. Essential for final style checks before academic submission.

Provides expert guidance on structuring scholarly essays for major academic publications like PMLA. It helps writers organize complex arguments, ensuring a clear, compelling flow from problem statement to conclusion for a generalist academic readership. Essential for outlining or reorganizing sprawling drafts while adhering to strict word counts (6,000–9,000 words).

A comprehensive guide for structuring the analysis and results section of academic papers in Production and Operations Management (POM). It covers rigorous theoretical proofs, advanced empirical identification methods (e.g., DiD, IV), and data science validation techniques. The core focus is bridging statistical significance with actionable, operational managerial magnitude, ensuring research findings are decision-relevant.

This guide provides a comprehensive checklist for designing, executing, and presenting empirical evidence for academic papers in Pattern Recognition and AI. It covers critical areas like establishing fair baselines, ensuring statistical rigor (mean ± std dev, significance testing), conducting sufficient ablation studies, preventing data leakage, and reporting computational costs. It helps authors make their findings withstand rigorous external review.

This guide assists researchers in determining the topic suitability, appropriate format (research paper, review, special issue), and correct academic placement for manuscripts targeting 'Pattern Recognition and Artificial Intelligence' (PR&AI). It outlines the journal's focused scope across core AI domains like ML, CV, and NLP, helping authors avoid common submission pitfalls and ensuring their contribution has sufficient originality and academic depth.

This skill helps authors determine the suitability of their research paper (analytical, empirical, or behavioral) for prestigious Operations Management journals like Production and Operations Management (POM). It provides detailed guidance on required scope, methodological rigor (e.g., identification strategies, model assumptions), structural requirements, and common pitfalls to ensure maximum publication potential.

A comprehensive guide designed for authors targeting PRX Quantum. It helps determine the suitability of manuscripts in quantum information science, quantum computing, or quantum technologies. The skill provides detailed guidance on the journal's scientific scope, required significance bar, structure, and open-access submission standards.

Provides rigorous statistical guidance for conducting meta-analyses in academic settings. This skill covers the calculation of standardized effect sizes (e.g., Hedges' g, log odds ratio), selecting appropriate models (defaulting to random-effects or multilevel models), and accurately quantifying between-study heterogeneity (Q, I², τ², and prediction intervals). It ensures the analysis meets state-of-the-art standards for high-impact psychological journals.

This skill guides the structure and prose for drafting high-level integrative reviews, particularly for publications like the Psychological Bulletin. It ensures the manuscript moves beyond descriptive annotation to become a rigorous, evaluative synthesis. Users must comply with APA 7th edition style and specific reporting standards (MARS for meta-analyses, PRISMA for systematic reviews, and JARS for quantitative work). It provides detailed guidance on structuring the abstract (≤ 250 words), the method section, results, and discussion to meet expert reviewer expectations.

A comprehensive guide to ensuring the quantitative rigor and full reproducibility of econometrics manuscripts, particularly for submissions to high-tier journals like QE. Covers structural estimation (GMM, MSM), moment construction, data cleaning best practices, and comprehensive validation checks (e.g., multi-start, Monte Carlo recovery). It ensures that all results can be regenerated from raw data using pinned environments and documented scripts.

A comprehensive guide detailing the stringent methodological and reporting standards required for submitting medical imaging research (diagnostic, AI, interventional) to a top-tier radiology journal. It covers expectations for diagnostic accuracy (STARD), AI model validation (CLAIM), sample size justification, reproducibility, and ensuring clinical relevance, helping authors frame their work for optimal journal fit.

This auxiliary skill helps researchers assess the suitability of their academic manuscripts in economics, social science, or management for submission to high-level journals like 'Reform of Economic System'. It provides comprehensive guidance on journal positioning, required theoretical depth, appropriate methodology, structural requirements, and common pitfalls, helping authors significantly improve their submission readiness and increase acceptance chances.