Dontopedia

if complexity > 0.7

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

if complexity > 0.7 has 6 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

6 facts·4 predicates·3 sources·1 in dispute

Mostly:rdf:type(2), condition(1), comparison operator(1)

Maturity scale raw canonical shape-checked rule-derived certified

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.

hasConditionalHas Conditional(1)

usesConditionalLogicUses Conditional Logic(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
Rdf:typeConditional[1]
Rdf:typeConditional Branch[2]
ConditionComplexity Gt 0.7[1]
Comparison OperatorgreaterThan[2]
ComparesParameter Complexity Threshold[3]

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/4d50b9aa-a188-463f-a9af-2015656a84e3
ex:Conditional
labelbeam/4d50b9aa-a188-463f-a9af-2015656a84e3
if complexity > 0.7
conditionbeam/4d50b9aa-a188-463f-a9af-2015656a84e3
ex:complexity-gt-0.7
typebeam/827c1c76-62d2-479f-970a-d589dd9c297f
ex:ConditionalBranch
comparisonOperatorbeam/827c1c76-62d2-479f-970a-d589dd9c297f
greaterThan
comparesbeam/afebfc4e-d1ea-46e6-bfd2-d6c0357c2867
ex:parameter-complexity-threshold

References (3)

3 references
  1. ctx:claims/beam/4d50b9aa-a188-463f-a9af-2015656a84e3
  2. ctx:claims/beam/827c1c76-62d2-479f-970a-d589dd9c297f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/827c1c76-62d2-479f-970a-d589dd9c297f
      Show excerpt
      x = torch.relu(self.fc1(x)) x = self.fc2(x) return x # Initialize the modules and move them to the GPU device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") complexity_scoring_module = ComplexityS
  3. ctx:claims/beam/afebfc4e-d1ea-46e6-bfd2-d6c0357c2867
    • full textbeam-chunk
      text/plain1 KBdoc:beam/afebfc4e-d1ea-46e6-bfd2-d6c0357c2867
      Show excerpt
      complexity_scoring_module = ComplexityScoringModule().to(device) resizing_module = ResizingModule().to(device) # Define a function to process inputs def process_inputs(inputs, complexity_threshold=0.7): inputs = inputs.to(device) w

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