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GIS; multivariate geoscience datasets; RBFLN; metallogenic prospective area; 3D structural modeling (3D SM); 3D fault system models (FSMs); seismic attribute models; reservoir properties; facies; hydrocarbon-bearing zones; oxidation of molybdenite; ore-forming process; 3D multi-parameter geological modeling; microanalysis; Shangfanggou; continental red beds; hematite; secondary reduction zone; Danxia landform; deep prospecting; 3D metallogenic prediction; characteristic variables; stepped metallogenic model; resource potential; Jiaodong Peninsula; geological modeling; orebody modeling; coons surface interpolation; contour interpolation; polygon triangulation; 3D mineral prospectivity modeling; random forest; logistic regression; Xuancheng–Magushan area; 3D geological modeling; 3D ore-body modeling; spectral interpretation and 3D modeling; mineral exploration and deep targeting; Zhaoxian gold deposit; independent component analysis; 3D modeling; spectral feature subset selection; 3D mineral prospectivity mapping; quantitative mineral resources prediction model; maximum entropy model; Gaussian mixture model; Zaozigou gold deposit; geological and geochemical quantitative prediction model at depth; Deep auto-encoder network; Student Teacher Ore-induced Anomaly Detection; n/a