Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
日本語の概要は準備中です。原文の説明を表示しています。
Use when running the final pre-submission preflight for Agricultural Systems (AgSy) via the current Elsevier submission path / Editorial Manager — article-type selection, abstract <= 250 words, Highlights, graphical abstract, CRediT and declaration-of-interest statements, funding/AI disclosures, reference style, and data/code/model availability. Final checks; it does not draft content.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
The last check before pressing submit through the current Elsevier submission path / Editorial Manager. AgSy is single anonymized, so there is no manuscript-anonymization step — but the front matter (abstract, Highlights, graphical abstract, declarations) and the data/code/model availability statement are where avoidable failures happen. Live-check volatile specifics on the official page before relying on them.
agsy-impact-and-implications)agsy-figures-and-tables)agsy-reproducibility-and-data-policy)agsy-review-process)A crop–livestock simulation study with scenario analysis is readied for upload; the preflight catches three avoidable failures:
agsy-review-process).Result: a clean upload rather than three Editorial Manager bounce-backs.
agsy-topic-selection or re-route.【Article type】Research / Short comm / Perspective / Comment / Review (length near guideline? Y/N)
【Abstract】word count (≤250); Highlights + graphical abstract? [Y/N]
【Systems content】question + model + evaluation + decision relevance? [Y/N]
【Declarations】CRediT + COI + funding/AI disclosure? [Y/N]
【Data/code/model】deposited + availability statement? [Y/N]
【References】journal style consistent? [Y/N]
【Next】await decision → agsy-revision-and-rebuttal on revision
../../resources/external_tools.md — reference managers, typesetting, repositories../../resources/official-source-map.md — official AgSy URLs behind every fact in this packまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
日本語の概要は準備中です。原文の説明を表示しています。
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
日本語の概要は準備中です。原文の説明を表示しています。
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
日本語の概要は準備中です。原文の説明を表示しています。
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
日本語の概要は準備中です。原文の説明を表示しています。
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
日本語の概要は準備中です。原文の説明を表示しています。
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
日本語の概要は準備中です。原文の説明を表示しています。