Dontopedia

risk score

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

risk score has 8 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

8 facts·4 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), derived from(2), used by(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (8)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

appliesToApplies to(2)

calculatesCalculates(1)

producesProduces(1)

resultResult(1)

returnsReturns(1)

sortBySort by(1)

usesUses(1)

Other facts (7)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

7 facts
PredicateValueRef
Rdf:typeCalculated Value[1]
Rdf:typeNumeric Value[2]
Rdf:typeCalculated Value[3]
Derived FromLikelihood[3]
Derived FromImpact[3]
Used byStep 3[1]
Unitcurrency[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/a3a5d835-1848-42bd-98e5-0660dbb98a7f
ex:CalculatedValue
usedBybeam/a3a5d835-1848-42bd-98e5-0660dbb98a7f
ex:step-3
unitbeam/a3a5d835-1848-42bd-98e5-0660dbb98a7f
currency
typebeam/f360e0ec-4b02-47fa-98bb-438a47e7b5f0
ex:NumericValue
typebeam/0e8d9567-3b36-47fc-a06f-dd58cbd52d0e
ex:CalculatedValue
labelbeam/0e8d9567-3b36-47fc-a06f-dd58cbd52d0e
risk score
derived-frombeam/0e8d9567-3b36-47fc-a06f-dd58cbd52d0e
ex:likelihood
derived-frombeam/0e8d9567-3b36-47fc-a06f-dd58cbd52d0e
ex:impact

References (3)

3 references
  1. ctx:claims/beam/a3a5d835-1848-42bd-98e5-0660dbb98a7f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a3a5d835-1848-42bd-98e5-0660dbb98a7f
      Show excerpt
      [Turn 1631] Assistant: Certainly! Creating a risk assessment model in Python is a great way to quantify and manage potential cost risks. Below is an enhanced version of your initial code, which includes additional steps to help you map cost
  2. ctx:claims/beam/f360e0ec-4b02-47fa-98bb-438a47e7b5f0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f360e0ec-4b02-47fa-98bb-438a47e7b5f0
      Show excerpt
      2. **Simulate Risk Occurrence**: Determine which risks occur based on their probabilities. 3. **Calculate Risk Score**: Compute the overall risk score by combining the probabilities and impacts of the occurring risks. ### Example Python Co
  3. ctx:claims/beam/0e8d9567-3b36-47fc-a06f-dd58cbd52d0e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0e8d9567-3b36-47fc-a06f-dd58cbd52d0e
      Show excerpt
      print(f"Risk: {risk['name']}, Score: {score}") # Example usage: risks = [ {'name': 'Risk 1', 'likelihood': 0.5, 'impact': 0.8}, {'name': 'Risk 2', 'likelihood': 0.3, 'impact': 0.6}, {'name': 'Risk 3', 'likelihood':

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