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    <responseDate>2026-10-15T09:15:28Z</responseDate>
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                <identifier>oai:data.mendeley.com/xkmy96cy6p.1</identifier>
                <datestamp>2026-08-24T01:07:48Z</datestamp>
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    <dc:creator>Yan, Tao</dc:creator>
    <dc:title>Supplementary dataset for a knowledge-guided LLM-GIS framework for relative landslide risk screening in Hong Kong</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset provides the numerical records supporting the study “Knowledge-guided LLM-GIS framework for relative landslide risk screening and risk-informed management in Hong Kong”. It includes the complete 100-step Mode A candidate-formulation sequence, the 100-step Mode B weighting-refinement trajectory, evaluation metrics, ROC data, sensitivity analyses, factor weights, normalisation settings, sample-level screening scores, and regional risk-classification thresholds. These data are provided to support transparency, auditability, and reproducibility of the deterministic GIS calculations and the LLM-assisted rule-generation workflow.</dc:description>
    <dc:subject>Risk Assessment</dc:subject>
    <dc:subject>Knowledge-Grounded LLM</dc:subject>
    <dc:contributor>Yin, Zhen-Yu</dc:contributor>
    <dc:contributor>Shen, Shui-Long</dc:contributor>
    <dc:contributor>Zhang, Ning</dc:contributor>
    <dc:contributor>Yin, Dong-Bin</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/xkmy96cy6p.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/xkmy96cy6p.1</dc:identifier>
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    <dc:date>2026-08-24T01:07:48Z</dc:date>
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