modelRxiv: A Platform for the Dissemination and Interactive Display of Models

IF 7.6 1区 环境科学与生态学 Q1 ECOLOGY Ecology Letters Pub Date : 2024-12-31 DOI:10.1111/ele.70042
Keith D. Harris, Guy Hadari, Gili Greenbaum
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Abstract

Modelling the dynamics of biological processes is ubiquitous across the ecological and evolutionary disciplines. However, the increasing complexity of these models poses a challenge to the dissemination of model-derived results. Often only a small subset of model results are made available to the scientific community, with further exploration of the parameter space relying on local deployment of code supplied by the authors. This can be technically challenging, owing to the diversity of frameworks and environments in which models are developed. To address this issue, we developed a platform that serves as an interactive repository of biological models, called modelRxiv. To facilitate adding models to modelRxiv, we utilise large-language models (LLMs) to make the platform language-agnostic. The platform provides a unified interface for the analysis of models that do not require any technical understanding of the model implementation, thus improving the accessibility, reproducibility and validation of ecological and evolutionary models.

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modelRxiv:模型传播与交互展示平台
生物过程的动力学建模在生态和进化学科中无处不在。然而,这些模型的复杂性日益增加,对模型衍生结果的传播提出了挑战。通常,只有一小部分模型结果可供科学界使用,对参数空间的进一步探索依赖于作者提供的代码的本地部署。由于开发模型的框架和环境的多样性,这在技术上可能具有挑战性。为了解决这个问题,我们开发了一个平台,作为生物模型的交互式存储库,称为modelRxiv。为了方便向modelRxiv添加模型,我们使用大语言模型(llm)使平台与语言无关。该平台为模型分析提供了一个统一的接口,不需要对模型实现有任何技术上的理解,从而提高了生态和进化模型的可访问性、可再现性和有效性。
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来源期刊
Ecology Letters
Ecology Letters 环境科学-生态学
CiteScore
17.60
自引率
3.40%
发文量
201
审稿时长
1.8 months
期刊介绍: Ecology Letters serves as a platform for the rapid publication of innovative research in ecology. It considers manuscripts across all taxa, biomes, and geographic regions, prioritizing papers that investigate clearly stated hypotheses. The journal publishes concise papers of high originality and general interest, contributing to new developments in ecology. Purely descriptive papers and those that only confirm or extend previous results are discouraged.
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