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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting or polishing an Agricultural Systems (AgSy) manuscript so it reads clearly for a systems-science audience, follows the journal's format, and meets front-matter requirements (abstract <= 250 words, Highlights, graphical abstract). Research papers run to about 8,000 words (no hard cap). Tightens prose and format; it does not invent content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
An AgSy paper must be readable by a broad systems-science audience — agronomists, modellers, economists, and environmental scientists — and prepared with the journal's front matter. This skill is about communicating a systems analysis clearly and meeting Elsevier's format, not about generating claims.
agsy-systems-framing-and-modeling).elsarticle for LaTeX).agsy-submission).Write each section to answer the question a systems referee raises there. Title: name the system and the trade-off, not just the crop. Abstract: lead with the interaction, end on the decision (≤250 words). Introduction: state boundary, interaction, model, and stakes by the last paragraph. Methods: plain-language model first, equations second. Results/Discussion: lead with the trade-off, then tie it to the decision and match claims to uncertainty.
Before (buries the system): "Simulations were run for several management options and yields compared across scenarios." — passive, no interaction, no trade-off, no decision.
After (systems-first): "A whole-farm bioeconomic model shows that shifting 30% of area to a legume intercrop raises modelled gross margin ~8% but increases nitrogen surplus ~14%, sharpening a margin–environment trade-off advisers must weigh when targeting rotation subsidies." — interaction, quantified trade-off (illustrative), and decision in one sentence.
agsy-literature-positioning).【Systems contribution stated by end of intro?】[Y/N]
【System defined early?】boundary + components + level? [Y/N]
【Abstract】word count (≤250)
【Highlights + graphical abstract】prepared? [Y/N]
【Length】near ~8,000 words; extras moved to supplementary? [Y/N]
【References + declarations】styled + CRediT/COI/funding/AI disclosure ready? [Y/N]
【Next】agsy-impact-and-implications
../../resources/external_tools.md — reference managers and Elsevier typesetting tools../../resources/official-source-map.md — abstract cap, Highlights, graphical abstract, declarations아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.