Skill UI

This guide details the critical steps and changes required to transform a reviewed SIGIR submission into the final Version of Record published via ACM Digital Library. It covers technical requirements, metadata standardization (CCS, keywords), conflict resolution, and adhering to publishing timelines and copyright protocols (e-rights, TAPS).

A comprehensive guide detailing the mandatory steps for converting an accepted, double-anonymous conference paper into a final, journal-ready (camera-ready) version for academic publication. This process covers de-anonymization, completing journal metadata (DOI, ORCID, CCS), incorporating shepherd-required revisions, and ensuring permanent reproducibility.

This guide details the critical post-acceptance process for SIGMOD papers, transitioning the work from a conference submission template to the final PACMMOD journal format. It covers complex technical porting, de-anonymization (restoring author names, funding, etc.), managing metadata submission (ORCID, rights forms), and publishing the associated digital artifact for reproducibility.

This comprehensive guide outlines the mandatory steps for transforming an accepted, anonymized academic paper into the final ACM Digital Library Camera-Ready format. It covers de-anonymization, adhering to ACM metadata standards (DOI, ORCID, CCS concepts), integrating reviewer feedback, and ensuring permanent reproducibility of code and traces.

A comprehensive guide for authors transitioning an accepted paper from a full draft to the strict, camera-ready proceedings format required by major conferences like SODA. It covers critical steps such as content compression, de-anonymization (restoring author metadata), adhering to SIAM formatting rules, and establishing proper citation hygiene across multiple versions (proceedings, arXiv, journal).

This comprehensive guide details the mandatory production steps required after a research paper is accepted for publication in Springer LNCS. Key tasks include de-anonymizing the manuscript (restoring true names, affiliations, and funding details), applying the specific llncs.cls format, finalizing metadata with ORCIDs, integrating reviewer feedback, permanently linking artifacts using DOIs, and completing the CC-BY open-access licensing forms.

This skill provides a comprehensive guide for authors assessing the fit and framing of metabolic, endocrine, or diabetes research for The Lancet Diabetes & Endocrinology. It outlines the journal's specific requirements, favoring major randomized trials, large prospective cohorts, and population-level epidemiological studies with clear international clinical or policy relevance. It covers method standards, reporting guidelines (CONSORT, STROBE, PRISMA), and official submission checklists. Note: This is a venue-fit aid, not clinical or regulatory advice.

This comprehensive guide walks authors through the critical final stages after conference acceptance. It covers de-anonymization, ensuring proper metadata for proceedings volumes (PMLR), integrating all reviewer responses, regenerating figures, and preparing for physical/virtual presentations (posters and spotlights). Use this to manage the entire complex workflow from acceptance to final submission.

A comprehensive checklist for authors preparing an accepted IEEE VIS paper for the final camera-ready journal submission (IEEE TVCG). It guides authors through critical steps including de-anonymizing the work, applying the correct journal template, completing comprehensive metadata (ORCID, DOI), integrating required revisions, and ensuring all open materials are permanently linked to public archival DOIs.

A comprehensive guide detailing the workflow for converting an accepted academic manuscript into its final, archival format for major digital libraries (e.g., ACM Digital Library). It covers critical steps including completing e-rights forms, de-anonymizing content, verifying CCS concepts and keywords, managing metadata, and troubleshooting common production pitfalls to ensure successful publication.

This skill helps determine which marketing channels drive conversions and revenue by interpreting attribution models or reconciling conflicting data across tools. It covers selecting models like first-touch or last-touch, understanding limitations, and building first-party attribution when controlling the site. Useful for marketers analyzing campaign performance, calculating CAC, and resolving dashboard discrepancies between platforms like Google and Meta.

This comprehensive skill provides systematic tools for academic research and writing. Users can search major databases (Google Scholar, PubMed), extract accurate metadata from identifiers (DOI, PMID, arXiv), validate existing citations, and generate correctly formatted BibTeX entries. It ensures reproducible research and maintains high citation accuracy throughout the writing process.