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 revising prose, the abstract, or the introduction of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript for AEA house style and the broad-interest macro arc. Late-stage polish on framing and clarity; it does not fix identification, the model, or exhibits.
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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。
AEJ: Macro is broad-interest, so the writing must make the macro question and the headline quantity legible to a general macroeconomist early — before the DSGE notation or the SVAR machinery. Follow AEA house style (active voice, plain prose, quantities with units, standard errors / bands reported). The hard constraint to design around: the abstract is ≤100 words (检索于 2026-06;以官网为准) — far tighter than most economics journals — so every word in it must earn its place.
For a full before→after introduction in AEJ: Macro house style, see
../../resources/worked-examples/01-introduction.md.
【Abstract word count】 ≤100? [Y/N] (current: __)
【First-paragraph test】question + quantity + uncertainty present? [Y/N]
【Arc】question → why hard → approach → result+mechanism → contribution+scope → roadmap? [Y/N]
【Style】active voice, quantities-not-adjectives, SEs/bands in sentences? [Y/N]
【Next step】aejmac-replication-package
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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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