Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-extraction-from-news-stories-a-causal-topic-centred-bayesian-graph-for-sugarcane
MLA“The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-extraction-from-news-stories-a-causal-topic-centred-bayesian-graph-for-sugarcane.
BibTeX@misc{4ortxyz_the-extraction-from-news-stories-a-causal-topic-centred-bayesian-graph-for-sugarcane_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane}}, year = {2026}, url = {https://4ort.xyz/entity/the-extraction-from-news-stories-a-causal-topic-centred-bayesian-graph-for-sugarcane}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane — https://4ort.xyz/entity/the-extraction-from-news-stories-a-causal-topic-centred-bayesian-graph-for-sugarcane (retrieved 2026-05-24)
