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 an American Economic Journal: Applied Economics (AEJ: Applied) decision letter arrives (R&R or conditional accept) and a response-to-referees letter plus a revision plan must be drafted. Plans and structures the response; it does not run the new analysis (aeja-identification / aeja-robustness) or the submission preflight.
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。
The editor's letter is the priority signal: it tells you which referee concerns are binding and which are optional. At AEJ: Applied the binding asks are almost always about design credibility (the identification, robustness, inference) before exposition. Address the editor's stated priorities first and in full; treat the referee reports as the menu the editor has already filtered. A revision is judged on whether the identification concerns are genuinely resolved, not on volume of new tables.
| Referee ask | Default response |
|---|---|
| Core identification doubt (binding per editor) | do it in full; show the new estimate + SE; update the paper |
| Robustness/inference request | run it; report stability of the point estimate |
| External-validity / estimand | add a calibrated scope statement; do not overclaim |
| Additional outcome/subgroup | run with MHT adjustment; or argue why it is out of scope |
| Exposition / framing | revise; cheap to do, builds goodwill |
| Out-of-scope new paper | respectfully decline with a one-line reason |
aeja-replication-package)Referee 2 says the staggered-DID estimate is biased and the parallel-trends story is thin; the editor's letter flags this as the binding concern. A weak response argues that TWFE "should be fine here." The AEJ: Applied response: re-estimate with Callaway–Sant'Anna, report the new ATT of 3.1pp (s.e. 0.9, vs. 3.6pp under TWFE), add the event-study leads and a Goodman-Bacon decomposition, and run an honest-DID bound — then in the letter quote the new number, cite the exact figure/table, and note the conclusion is unchanged but now robust. The editor sees the binding concern fully resolved with evidence, not assertion.
【Decision type】R&R / conditional accept / reject-and-resubmit
【Editor priorities】[binding asks, in order]
【Triage】done: [...] | partial: [...] | declined (with reason): [...]
【Decisive evidence】new identification/robustness result + number(SE) + location
【Tone check】gracious, concrete, evidence-based? [Y/N]
【Package sync】replication updated to match revision? [Y/N]
【Next step】aeja-submission (resubmit) → re-enter aeja-workflow if further rounds
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。