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.
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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.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
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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.
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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.
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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.
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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.
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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.
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