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 Global Biogeochemical Cycles (GBC) or deciding whether a biogeochemical-cycling manuscript fits this venue. Encodes the journal's system-scale fluxes/budgets/feedbacks fit, the quantitative biogeochemistry evidence bar, AGU FAIR data-deposition expectations, house style, official-submission re-check, and desk-reject 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。
Global Biogeochemical Cycles (GBC) is the American Geophysical Union's journal for the cycling of carbon, nutrients, and elements through the earth system: the fluxes, budgets, and feedbacks that move and transform elements across land, ocean, and atmosphere, constrained by observations, experiments, and models. The defining expectation is a quantitative, system-scale advance in biogeochemistry — a better-constrained flux or budget, a newly characterized feedback, or a mechanism operating at regional-to-global scale — not a site-level process measurement of interest mainly to one community. A descriptive local incubation, a single-station time series, or an ecological/soil study with no implication for an element budget or earth-system feedback is a weak fit. 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 GBC / AGU author instructions and data policy.
soil-biology-and-biochemistry (soil-process
mechanism), and water-resources-research (water science).../../resources/source-basis.md and
../../resources/official-source-map.md; start from the AGU anchors, then cite the current
GBC page you checked.soil-biology-and-biochemistry.water-resources-research / journal-of-hydrology.global-change-biology.journal-of-climate.earth-system-science-data.[Fit] High / Medium / Low (one-line reason)
[Target] Global Biogeochemical Cycles
[Topic tags] <2–3 closest biogeochemical-cycling topics>
[System-scale contribution] <the flux/budget/feedback advance beyond one site>
[Method/evidence] <do uncertainty + scaling + model/data evaluation + deposition clear GBC's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / key points / AGU data-software policy / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>
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。