Skill UI

A comprehensive preflight guide for submitting academic manuscripts, specifically tailored for Financial Management (FMA) via the FMA/ScholarOne platform. It details critical steps, including fee payment, genre-specific formatting rules (anonymization, style guides), originality declarations, and the correct two-stage submission workflow to ensure manuscripts are properly processed and maximize acceptance chances.

This comprehensive guide details the rigorous process of preparing a double-blind academic paper for its final, public, dual-published status across ACM and IEEE platforms. It systematically covers de-anonymization (restoring names, affiliations, and acknowledgments), ensuring all rebuttal promises are met within strict page limits, and managing complex metadata requirements (ORCID, CCS concepts, rights blocks). It serves as a final production checklist for authors.

A comprehensive guide for researchers on preparing, archiving, and declaring the availability of research artifacts (datasets, code, and platforms) for academic publication. It details best practices for provenance tracking, ensuring reproducibility, and meeting the standards required for community contribution awards.

A comprehensive guide for authors preparing accepted academic papers for final publication. It details the requirements for a dual-publisher format (ACM and IEEE), covering mandatory steps like de-anonymization, completing dual metadata (ORCID, CCS, DOI), integrating reviewer feedback without scope creep, and permanentizing dataset/firmware links using public DOI archives. This ensures the submission meets the highest standards for academic rigor and publishing platforms.

This comprehensive checklist guides authors through the final pre-submission review for the Journal of Policy Analysis and Management (JPAM). It ensures the manuscript is properly anonymized (double-blind), confirms adherence to membership/fee requirements, and verifies all necessary metadata, data availability statements, and formatting standards before upload to the Wiley Research Exchange platform.

This comprehensive skill guides authors on whether their enabling technology, platform, or method is suitable for Nature Biotechnology. It analyses the journal's specific focus on translational potential, broad applied impact, and industrial relevance. It covers best practices for advanced topics including genome editing, synthetic biology, biomanufacturing, and AI applications, emphasizing the requirement for robust in vivo proof and comprehensive benchmarking.

A comprehensive preflight guide for authors submitting academic manuscripts to journals via platforms like Sage Track. This checklist ensures compliance with mandatory journal requirements, including word count targets, abstract structure, anonymous masking techniques, SAGE Harvard referencing, and critical ethical/data availability statements. Use this before any final upload.

This guide addresses the stringent requirements for empirical evaluation in compiler and runtime systems, aligning with SIGPLAN's guidelines. It covers critical aspects such as proper warmup discipline, reporting variance and confidence intervals, selecting principled benchmarks, pinning toolchains, and ensuring cross-platform validity. It provides a protocol for generating verifiable measurement logs for academic publications.

A comprehensive pre-submission audit checklist for academic papers targeting conferences like PODS. It meticulously covers formatting requirements (e.g., acmsmall template, 15-page budget), strict double-anonymous review rules, conflict of interest declaration, and critical deadlines, ensuring submissions are ready for platforms like EasyChair.

A comprehensive checklist for authors preparing manuscripts for academic journal submission via platforms like ScholarOne Manuscripts. It guides users through essential compliance checks, including maintaining double-anonymity, adhering to free format requirements, and ensuring all required metadata (ORCID, data availability statement) is included, helping authors prevent common rejection reasons before actual submission.

A comprehensive guide for ensuring robust scientific reproducibility in robotics research (RSS). It structures evidence into distinct 'Replication Tiers' (e.g., Rerunnable, Auditable), distinguishing between the computational half (code, seeds) and the physical half (robot, environment, human protocol). It mandates the use of platform ledgers and raw trial logs to convert claims of trust into verifiable, auditable evidence.

A comprehensive guide for ensuring the scientific reproducibility of research papers that rely on dynamic web data, such as web crawls, platform APIs, or live system traffic. It defines three reproducibility regimes (Frozen, Decaying, Unreplayable) and provides detailed instructions on documenting data decay, temporal splits, environment configurations, and computational seeds to maintain the rigor of published findings.