Skill UI

This guide outlines the stringent reproducibility and data requirements for submitting manuscripts to Agricultural Systems (AgSy). Because AgSy treats code, models, and algorithms as research data, authors must learn how to deposit all materials in a recognized repository (e.g., Zenodo, OSF), cite them permanently, and document the model structure, parameters, and versions. It provides a checklist for building a reproducible research workflow.

This guide details the critical steps for authors preparing their accepted paper for final publication in MLSys proceedings. It covers de-anonymization, restoring company and repository identity, reconciling promised rebuttals, and ensuring metadata accuracy for long-term findability. Essential for managing the complex post-acceptance timeline.

A comprehensive guide for drafting persuasive and structured author responses to major academic conference reviews. This methodology teaches how to triage critical concerns, anchor answers strictly to submitted evidence (tables, appendices, repository), and effectively counter common technical pushbacks such as baseline tuning, temporal data leakage, and offline-online gaps, ensuring the response is professional, anonymous, and high-impact.

This guide outlines the comprehensive steps required to convert an accepted, anonymous academic paper into its final, published 'camera-ready' version for major conferences (e.g., RecSys). It covers crucial tasks such as restoring author details, affiliations, funding, integrating rebuttal promises, ensuring proper ACM two-column reflow, and managing public code/data repository release.