## 5 Conclusions  
The utilization of big data, artificial intelligence, and other methodologies and technologies enables a digitally driven approach to the exploitation of geological data. This approach involves studying the correlation of geophysical and geochemical exploration information (data) to achieve a quantitative prediction of mineral prospecting targets and increase the probability of discovering mineral deposits. Compared to the conventional \"theory-driven\" and \"causality analysis\" qualitative prediction research methods, the constraints imposed by pertinent geological experience (theory) and the impact of subjective variables are effectively negated. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Number of Target Area** & **Au (10\({}^{-6}\))** & **Number of Target Area** & **Au (10\({}^{-6}\))** & **Data Supplier** \\ \hline I-2-6 & 1.96–2.02 & I-2-9 & 0.63 & The Fourth Geological Survey \\ I-2-10 & 0.57 & I-2-11 & 3.65 & Institute of Gansu Provincial Geology \\ I-2-12 & 2.76–3.43 & I-2-13 & 0.97 & and Mining Bureau \\ I-2-14 & 0.51 & - & - & \\ \hline I-2-7 & 1.42–1.71 & I-2-4 & 1.42 & \\ I-2-8 & 0.86–0.93 & I-2-1 & 0.59 & \\ I-2-5 & 1.63–1.84 & I-2-2 & 2.34–3.78 & Geological Survey of Gansu Province \\ I-2-3 & 1.16 & I-2-4 & 2.76–2.95 & \\ \hline I-2-14 & 0.66 & I-2-15 & 1.74 & The Third Geological Survey Institute \\ I-2-16 & 1.52–2.13 & I-2-17 & 1.06–4.42 & of Gansu Provincial Geology and \\ I-2-18 & 1.62–1.74 & I-2-19 & 2.85–5.66 & Mining Bureau \\ \hline \hline \end{tabular} Description: The Third Survey Institute, the Fourth Survey Institute of Gansu Province Geology and Mining Bureau, and the Geological Survey of Gansu Province completed the field validation work, and the Comprehensive Research Office of Gansu Province Geology and Mining Bureau summarized the validation results.  
\end{table} 
Table 7: List of blank target area-checking results. Figure 4: Schematic representation of the results of the inspection of the prospecting target area for level-I Au deposits based on geophysical and geochemical information in the Beishan area of Gansu Province. The self-developed software for determining the prediction lower limit of geochemical exploration data and processing data leveling by amplitude and area effectively eliminates the original data's systematic errors, realizes the leveling of different-scale geochemical exploration data, and addresses the long-standing challenges of data processing and the \"loss of low and slow anomalies\". This lays a solid foundation for enhancing the effectiveness of mineral prediction and discovery. The essential information of the classification of mineral deposits was restored, the potential value of the geochemical exploration data was effectively exploited, and the correlation between the mineralization elements and the predicted mineral species was significantly improved. The predicted target area was reduced to 3.67% of the total study area. Within this, the actual observation rate of minerals in the level-I predicted target area is as high as 52.6%, thereby markedly enhancing the accuracy of the predictions for the target area. The innovative application of aeromagnetic data in predicting the mineralization of non-magnetic mineral species, such as Au, has altered the conclusion that aeromagnetic results are ineffective for identifying target areas for gold mining, as previously suggested in traditional geological research. L.Z., conceptualization, methodology, software, and writing--original draft preparation; R.H., writing--review and editing, funding acquisition; Y.Z., resources, supervision, and writing--review; H.F., visualization; J.L., methodology and conceptualization; Y.L., investigation and data curation. All authors have read and agreed to the published version of the manuscript. This research was financially supported by the Science and Technology Plan of Gansu Province \"Key Research and Development Program of Gansu Province\" (No. 21 YFSNA040); the National Natural Science Foundation Project of China (No. 41572060, No.