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BayesiaLabBayesiaLab User GuideMenusHellixiaPairwise Causal Link

Pairwise Causal Link

Context

To this day, no reliable methods exist to find causal relationships in data. Given a statistical association between two variables, it is impossible, based on data alone, to establish which variable is the cause and which is the effect.

As a result, acquiring additional external information, such as human expert knowledge or the temporal order of the variables, remains necessary to determine the causal direction in bivariate relationships.

With LLMs, it is now possible to let BayesiaLab tap into external domain knowledge. BayesiaLab’s Hellixia can ask LLMs about the causal relationship between two nodes.

Usage & Example

Select two nodes of interest, e.g., Smoking\mathit{Smoking} and Lung Cancer\mathit{Lung\ Cancer}.
Select Menus > Hellixia > Pairwise Causal Link.

In the Pairwise Causal Link Window:

  • Specify the Completion Model.
  • Provide any applicable context to the Context field.
Check which fields contain the subjects under study, e.g., Node Name, Node Long Name, and Node Comment.
Click OK to launch the search.
If the LLM believes a causal relationship exists, BayesiaLab adds a corresponding arc.
Furthermore, BayesiaLab adds an Arc Comment with any contextual information the LLM provides. The Arc Comment icon indicates that such a comment was added.
Clicking the Show Arc Comment button in the Toolbar displays the comment.

Workflow Video

Workflow 2Root Priors Elicitor