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Weighted Score

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Weighted Score has 6 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

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

Mostly:rdf:type(2), computed from(2), calculation method(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Computed Fromin disputecomputedFrom

Calculation MethodcalculationMethod

Computed bycomputedBy

Inbound mentions (2)

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.

describesDescribes(1)

mentionsMentions(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.

calculationMethodbeam/96e02250-24f3-4d02-92fa-50f9f6210c88
ex:combination_method
computedBybeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:sum-operation
computedFrombeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:option_scores
computedFrombeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:weights
typebeam/96e02250-24f3-4d02-92fa-50f9f6210c88
ex:Concept
typebeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:NumericValue

References (3)

3 references
  1. customctx:claims/beam/96e02250-24f3-4d02-92fa-50f9f6210c88
  2. [2]beam-chunk2 facts
    customctx:claims/beam/e3ef8583-5439-4485-8856-6415be355e7a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e3ef8583-5439-4485-8856-6415be355e7a
      Show excerpt
      :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define the factors and their weights factors = ['cost', 'scal
  3. [3]beam-chunk2 facts
    customctx:claims/beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
      Show excerpt
      :param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define

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