## 2 Systematic Analysis Methodology
#### PRISMA-Compliant Systematic Review with LLM-Enhanced Methodology  
Enhanced Search with LLMs: To ensure compliance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines [35], this systematic review has been structured following all recommended elements. The methodological process is summarized in Table 1, where each item is linked to its corresponding methodological section within the manuscript. In addition to the standard steps of document selection and analysis (Items 2, 3, 4, and 5 in the table), a more robust semantic approach has been incorporated, powered by advanced NLP techniques and LLMs. Rather than relying solely on exact keyword-based searches, an LLM-assisted semantic analysis has been applied, allowing for the identification of language patterns and conceptual relationships within the document corpus (see Item 7 in Table 1). This process does not contradict PRISMA guidelines; instead, it enhances them by reducing the risk of missing relevant studies that do not match predefined keywords but are conceptually aligned with the review's focus. Subsequently, expert validation (Item 8) ensures that the resulting thematic classification remains coherent with the perspective and needs of the mining industry, providing an additional layer of quality control before final inclusion (Item 9). Expert Validation: Expert validation plays a crucial role (Items 8 and 9, related to selection and validation processes). By integrating domain-specific expert insights with automated semantic clustering, the thematic structure gains a higher level of interpretability and relevance, particularly within the mining industry and engineering research. The hybrid approach balances automated LLM scalability with expert-driven contextual refinement, strengthening the overall reliability of the thematic classification. PRISMA-Compliant Flow Diagram: Following PRISMA guidelines, a flow diagram (Items 12 and 16a) has been provided to illustrate the stages of document retrieval, inclusion, and exclusion (Figures 1 and 2). This diagram enhances transparency by tracking each document through the systematic review process, from the initial search in _Scopus_ and _Web of Science_ to final review and quantitative and qualitative synthesis. Additionally, search dates, sources, and eligibility criteria are detailed in Section 2 (Items 6 and 7), ensuring search strategy transparency and reproducibility. The employed methodology (Items 10 and 11) combines bibliometric analyses (e.g., co-occurrence and trend analysis) with a descriptive review of key findings, in line with PRISMA recommendations for presenting results and discussing evidence (Items 19-23). Lastly, the Discussion and Conclusion section (Items 23 and 24) addresses both the limitations of the analyzed corpus and recommendations for future research, maintaining the continuous improvement approach promoted by the PRISMA guidelines. LLM-Assisted Thematic Classification: In Figure 1, the structured sequence of Thematic NLP Analysis + Expert Validation is presented, illustrating how NLP techniques are combined with expert evaluations to refine thematic classification. To provide further detail on one of the core stages within the overall workflow depicted in Figure 2, this