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 choosing suggested and opposed referees for an Advanced Materials submission and pre-empting the objections materials reviewers most often raise. Plans referee selection and objection defense; does not write the manuscript or the rebuttal.
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。
Adv. Mater. work sits at the intersection of synthesis/characterization and function/device. A good referee set covers both competences, plus the breadth the gate demands:
Aim for referees who are current in the field, not conflicted, and not exclusively from your own collaboration network. Follow the journal's rules on number and eligibility.
Address these in the manuscript before submitting; each is a common Adv. Mater. rejection lever:
| Likely objection | Pre-empt by |
|---|---|
| "The advance is incremental / optimization only" | Frame the design rule / trade-off broken; contrast with SOTA |
| "The structure/phase is not proven" | Triangulate with complementary techniques (see advmat-methods) |
| "The hero image is not representative" | Give distributions and statistics, not one micrograph |
| "The benchmarking is unfair / cherry-picked" | Compare under matched conditions; cite the best reported systems |
| "It won't reproduce / batch variation hidden" | Report n, mean ± s.d., and batch-to-batch data in the SI |
| "Stability/durability not shown" | Include cycling/aging/operational-stability data |
| "Not broad enough for Adv. Mater." | Name the out-of-subfield beneficiary; make the impact case (cover letter) |
【Suggested referees】synth/char: ... | property/device: ... | neighbor/impact: ...
【Conflicts screened】yes / fix
【Opposed referees】name — factual rationale (short)
【Objections pre-empted】incremental / structure / hero-image / benchmarking / stability — covered?
【Consistent with cover letter】yes / fix
【Next】advmat-submission (enter referees) or advmat-revision (after reports)
Rules on referee numbers, eligibility, and conflicts are set by Wiley and evolve — verify on the official Advanced Materials author page.
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。