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Num Trials

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

Num Trials 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), purpose(2), has value(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

  • Integer[3]all time · Cbbe7ac5 F47d 4434 83e6 Aafcb6d39ebd
  • Integer[1]sourceall time · C9baa714 Fb6f 4a4e A32c 8544bdaa25ed
  • Variable[2]all time · 25c4eff6 2519 424f 918f 6c27fab25d72

Purposein disputepurpose

  • determines_iteration_count[3]all time · Cbbe7ac5 F47d 4434 83e6 Aafcb6d39ebd
  • averaging_results[2]sourceall time · 25c4eff6 2519 424f 918f 6c27fab25d72

Has ValuehasValue

  • 10[1]sourceall time · C9baa714 Fb6f 4a4e A32c 8544bdaa25ed
  • 10[2]sourceall time · 25c4eff6 2519 424f 918f 6c27fab25d72

Rdfs:labelrdfs:label

  • num_trials[2]all time · 25c4eff6 2519 424f 918f 6c27fab25d72

Inbound mentions (4)

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.

configurationConfiguration(1)

hasVariableHas Variable(1)

iterationCountIteration Count(1)

usesVariableUses Variable(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.

8 undated
—
hasValuebeam/c9baa714-fb6f-4a4e-a32c-8544bdaa25ed
10
—
hasValuebeam/25c4eff6-2519-424f-918f-6c27fab25d72
10
—
purposebeam/cbbe7ac5-f47d-4434-83e6-aafcb6d39ebd
determines_iteration_count
—
purposebeam/25c4eff6-2519-424f-918f-6c27fab25d72
averaging_results
—
labelbeam/25c4eff6-2519-424f-918f-6c27fab25d72
num_trials
—
typebeam/cbbe7ac5-f47d-4434-83e6-aafcb6d39ebd
ex:Integer
—
typebeam/c9baa714-fb6f-4a4e-a32c-8544bdaa25ed
ex:Integer
—
typebeam/25c4eff6-2519-424f-918f-6c27fab25d72
ex:Variable

References (3)

3 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/c9baa714-fb6f-4a4e-a32c-8544bdaa25ed
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c9baa714-fb6f-4a4e-a32c-8544bdaa25ed
      Show excerpt
      test_terms = ["term1", "term2", "term3"] * 500 # Thresholds to test thresholds = [0.8, .85, .9, .95] # Number of trials to average over num_trials = 10 # Dictionary to store precision results precision_results = {} for threshold in thre…
  2. [2]beam-chunk4 facts
    customctx:claims/beam/25c4eff6-2519-424f-918f-6c27fab25d72
    • full textbeam-chunk
      text/plain1 KBdoc:beam/25c4eff6-2519-424f-918f-6c27fab25d72
      Show excerpt
      # Simulate the probability of correct synonym expansion return np.random.rand() < threshold def calculate_precision_and_recall(threshold, test_terms): true_positives = 0 false_positives = 0 false_negatives = 0 …
  3. [3]beam-chunk2 facts
    customctx:claims/beam/cbbe7ac5-f47d-4434-83e6-aafcb6d39ebd
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cbbe7ac5-f47d-4434-83e6-aafcb6d39ebd
      Show excerpt
      precision_values = [] recall_values = [] for _ in range(num_trials): precision, recall = calculate_precision_and_recall(threshold, test_terms) precision_values.append(precision) recall_values.append(recal…

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