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ForestGPT and Beyond: A Trustworthy Domain-Specific Large Language Model Paving the Way to Forestry 5.0
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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One hundred important questions facing forestry research: an exploratory case study of AI-generated agendas, biases, and future scenarios
inferred← citeshttps://doi.org/10.1007/s40725-026-00275-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103813openalex-snapshot
MetaBeeAI: An AI pipeline for structured evidence extraction from biological literature
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103855openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.forpol.2026.103833openalex-snapshot
Precision or division? Stakeholder perceptions and tensions in the digital transition of Swedish forests
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104808openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116418openalex-snapshot
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AI-generated advice as a reinforcement layer in climate-smart agriculture
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The missing link for AI at work: Towards an organization-centered approach to large language models’ explainability
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inferred← citeshttps://doi.org/10.1080/10447318.2026.2739758openalex-snapshot
The System Hallucination Scale (SHS): A Human-Centered Instrument for Assessing Perceived Reliability of Large Language Models
inferred← citeshttps://doi.org/10.1109/icicgr68236.2026.11600123openalex-snapshot
Ethical Prompt Optimization for Mental Health Chatbots Using Mixture-of-Experts (MoE) and Guardrail LLMs
inferred← citeshttps://doi.org/10.1111/exsy.70163openalex-snapshot
Explaining 3D Semantic Segmentation Through Generative AI ‐Based Counterfactuals
inferred← citeshttps://doi.org/10.21256/zhaw-36869openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/ffgc.2026.1783129openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/f17060708openalex-snapshot
Quantifying Risk Levels for Active Safety Systems in Autonomous Forest Machinery Using Vision Language Models
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Research Frontiers in Machine Learning & Knowledge Extraction
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Large Language Models in Business Process Management
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