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 targeting Annual Review of Plant Biology or deciding whether a plant-biology review proposal fits this invited-review venue. Encodes the journal's fit, the authoritative-synthesis and invited-article bar, evidence and balance expectations, house style, official-submission re-check, and desk-reject heuristics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Annual Review of Plant Biology, published by Annual Reviews, publishes authoritative, comprehensive review articles that synthesize the state of a plant-biology field for a broad scientific readership. It is an invited-review venue: articles are normally commissioned by the editorial committee, and the contribution is a balanced, forward-looking synthesis of a literature — not new primary data. The single largest mismatch is submitting unsolicited primary research, or a narrow mini-review that reads like a grant introduction rather than a definitive field synthesis. Authors with a compelling topic typically propose it to the editors rather than submit a finished manuscript unrequested. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidance. Before proceeding, re-check the live Annual Reviews/AR Plant Biology guidance and the commissioning process.
../../resources/source-basis.md and
../../resources/official-source-map.md; start from the official source anchors, then
cite the current Annual Review of Plant Biology page you checked.nature-plants or the-plant-cell.new-phytologist.the-plant-journal.agronomy-for-sustainable-development.science-advances review.[Fit] High / Medium / Low (one-line reason)
[Target] Annual Review of Plant Biology
[Invited?] Invited / Proposing topic / Unsolicited (flag risk)
[Topic tags] <2–3 closest plant-biology synthesis themes>
[Synthesis value] <the organizing framework / forward agenda the review adds>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <commissioning route / length / figures / permissions / disclosures>
[Re-route suggestion] <if primary data or out of scope, a better-matched venue>
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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.