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 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.
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。
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>
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。