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 anticipating referee objections or calibrating review expectations for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript before submission. Pre-empts the objections theory referees raise and reads the editorial process; it does not draft the response letter (see aejmic-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。
resources/official-source-map.md).| Likely objection | Pre-empt it by (skill) |
|---|---|
| "The result is a knife-edge artifact of assumption A." | Name the load-bearing assumption; show necessity / a counterexample on failure (aejmic-identification) |
| "This is too specialized / maximal-generality for AEJ: Micro." | Re-frame the broad-interest message; cut generality that hides it (aejmic-topic-selection, aejmic-theory-model) |
| "How does this differ from [closest result]?" | State the theorem-relative delta in one sentence (aejmic-literature-positioning) |
| "Does it survive [a continuum / asymmetry / perturbation]?" | Provide the earned extension or a clean negative result (aejmic-robustness) |
| "A step in the proof is asserted, not shown." | Complete the lemma scaffolding; self-contained proofs (aejmic-replication-package) |
| "The model is overloaded; the mechanism is invisible." | Reduce to the minimal environment; lead with intuition (aejmic-theory-model, aejmic-writing-style) |
| "This is an empirical paper, not theory." | Either restore the theoretical contribution or redirect to AEJ: Applied (aejmic-topic-selection) |
| (Applied) "Identification / inference is shaky; asterisks used." | Branch B/C identification; SEs not asterisks (aejmic-identification, aejmic-tables-figures) |
Before submitting a matching paper, the author lists likely objections: (1) "rides on substitutability" → already pre-empted in aejmic-identification with a counterexample; (2) "how does it differ from the deferred-acceptance literature?" → one-sentence delta ready; (3) "is the existence proof complete?" → lemma scaffolding done. The remaining risk is audience fit, so the intro is rewritten to foreground the broad market-design message rather than the technical condition. JEL codes C78/D47 route it to a market-design co-editor.
【Top 3 likely objections】[...] → 【Fix / owning skill】[...]
【Load-bearing assumption defended】[Y/N]
【Delta crisp】[Y/N] 【Broad-interest message explicit】[Y/N]
【Proof gaps closed】[Y/N]
【Routing】JEL codes [...] (single-blind — no anonymization)
【Venue confirmed】AEJ: Micro (not AEJ: Applied)? [Y/N]
【Next step】aejmic-submission
../../resources/README.md — links to the shared reviewer-objection checklist (applied subset)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。