Dontopedia

Weights Dictionary

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Weights Dictionary has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

5 facts·3 predicates·2 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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.

assignedValueAssigned Value(1)

Other facts (5)

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.

5 facts
PredicateValueRef
Contains MappingCost Weight Mapping[2]
Contains MappingScalability Weight Mapping[2]
Contains MappingSecurity Weight Mapping[2]
Length3[1]
Rdf:typeDictionary[2]

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.

lengthbeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
3
typebeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:Dictionary
containsMappingbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:cost-weight-mapping
containsMappingbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:scalability-weight-mapping
containsMappingbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:security-weight-mapping

References (2)

2 references
  1. ctx: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
  2. ctx:claims/beam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
      Show excerpt
      [Turn 1207] Assistant: Great! Let's go ahead and run through the script with the example you provided. We'll start by defining the factors and their weights, then input the scores for each option, and finally calculate the weighted scores.

See also

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