2350 8.5 Thresholds of interpretation Interpretation bands are defined to support decision-making. These thresholds do not represent absolute safety limits, but rather anticipatory states that indicate an increase in system vulnerability and the need to implement preventive or corrective actions. The threshold values used in this study are for reference and are geared toward the pilot validation phase. 9.PROPOSED APPLICATION (PILOT) In accordance with the WMC 2026 guidelines, the pilot will be implemented in mining operations during the first quarter of 2026. At the time of delivery of this document: • The pilot project is currently in the design phase. • No empirical data is available yet. • The graphs, tables, and results will be incorporated into the final version (before March 2, 2026). Sections reserved for future results • Tables, graphs, and comparative analysis will be completed with the results after the pilot is finished. 10.EXPECTED IMPACT In general, QPI seeks to add a new layer of anticipation to preventive systems through: • Early identification of critical configurations. • Increased sensitivity to unobserved states. • Better prioritization in operational intervention. • Reduction of high-potential events (conceptual projection). • Greater alignment with future mining based on data and complex systems. Specifically, QPIFAT is expected to bring a new layer of anticipation to fatigue management by identifying critical configurations early, better prioritizing interventions, and reducing the risk of high-potential events, aligning with the principles of mining for the future. These estimates will be empirically validated during the pilot phase. 11.SCALABILITY This scalability positions QPIFAT not as a site-specific tool, but as a transferable, anticipatory framework for high-energy mining systems globally. 12.DISCUSSION The conceptual simulation developed allows for the analysis of the behavior of the Quantum Potential Index applied to fatigue (QPIFAT) as a systemic indicator oriented towards anticipating highpotential states, rather than directly predicting events. The value obtained (59.4) should be interpreted as a measure of the level of accumulation of conditions that increase the potential for occurrence of high-energy events associated with fatigue and drowsiness. The QPIFAT is conceived as a continuous indicator, where increasing values reflect greater convergence among observable variables, latent conditions, human factors, and environmental conditions. In the case analyzed, the value of 59.4 falls within a preliminary range of high latent potential, indicating
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