Skip to Content
BayesiaLabBayesiaLab User GuideHellixiaRoot Priors Elicitor

Root Priors Elicitor

Menu path: Hellixia > Root Priors Elicitor

What it does

Elicits prior probability distributions for root nodes using selected context and configured LLM providers.

Treat Hellixia output as a structured starting point for analyst review, expert refinement, learning, inference, or communication. Generated causal directions and quantification should be checked before they are used operationally.

When to use it

  • Initial quantification
  • root-node priors
  • expert review before inference

Inputs

  • Selected root nodes
  • state definitions
  • optional General Context

Outputs

  • Prior probability distributions
  • elicitation comments

Step-by-Step Workflow

  1. Prepare the network, source material, selected nodes, selected arcs, or Knowledge Files required by the function.
  2. Confirm that Hellixia provider settings and model access are configured.
  3. Open Hellixia > Root Priors Elicitor.
  4. Review the available options and add General Context when the model needs domain-specific guidance.
  5. Run the function and inspect the generated graph, comments, priors, embeddings, translations, or images.
  6. Edit the output in BayesiaLab before using it for analysis, publication, or decision support.

Review Guidance

Check whether the generated labels, relationships, comments, classes, probabilities, or causal effects match the source material and expert understanding. For causal outputs, verify that the proposed direction and mechanism are plausible and that no important confounder or alternative explanation has been hidden by the generated structure.

Related Functions

Examples

Pairwise Causal LinkICI Local Effects Elicitor