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 targeting the Bulletin of the American Meteorological Society (BAMS) or deciding whether a broad-interest atmospheric/oceanic/hydrologic-sciences contribution fits this venue. Encodes the journal's review-and-community positioning, the broad-audience-significance bar, synthesis and field-campaign expectations, AMS house style, official-submission re-check, and misfit heuristics.
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 Bulletin of the American Meteorological Society (BAMS) is the AMS flagship for broad-interest content addressed to the entire atmospheric, oceanic, and hydrologic-sciences community: major review and synthesis articles, overviews of field campaigns and large research programs, and community pieces such as essays, meeting and workshop summaries, and policy- or education-relevant commentary. It is best understood as a review and community venue, not a home for narrow primary research — much of its substantive content is commissioned or developed in dialogue with editors, and every article must speak across sub-disciplines rather than to one specialist group. A focused original-research result, no matter how solid, generally belongs in a topical AMS research journal instead. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidance. Before submitting, re-check the live BAMS author instructions and article-type definitions.
journal-of-climate for a climate-science manuscript.../../resources/source-basis.md and
../../resources/official-source-map.md; start from the AMS anchors, then cite the current
BAMS page you checked.journal-of-climate (topical AMS research venue).journal-of-hydrology or water-resources-research.agricultural-and-forest-meteorology.limnology-and-oceanography.nature-climate-change or nature-geoscience.[Fit] High / Medium / Low (one-line reason)
[Target] Bulletin of the American Meteorological Society (BAMS)
[Article type] <review / synthesis / campaign-overview / program / essay / summary>
[Community significance] <why it matters across the whole community, not one specialty>
[Synthesis/breadth] <does coverage + accessibility + community resource clear the BAMS bar?>
[Commissioning note] <is editor scoping or a pre-submission inquiry advisable?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / capsule summary / scoping / data policy / disclosures>
[Re-route suggestion] <if narrow research, a topical research venue>
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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。