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Four Decimal Places

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Four Decimal Places has 7 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

7 facts·2 predicates·4 sources·2 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Rdfs:labelin disputerdfs:label

  • Four Decimal Places Format[1]all time · B1c43907 80fa 4804 9f16 0edd887a0129
  • :.4f[2]sourceall time · E439b65d D477 4a00 B619 B77ab784c2c2
  • four decimal places[3]sourceall time · 80a16c0b 7043 48ab Aeb5 68a3a00737cb

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.

usesFormatUses Format(4)

formatsOutputFormats Output(1)

formattedAsFormatted As(1)

numberFormatNumber Format(1)

specifiesSpecifies(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.

labelbeam/b1c43907-80fa-4804-9f16-0edd887a0129
Four Decimal Places Format
labelbeam/e439b65d-d477-4a00-b619-b77ab784c2c2
:.4f
labelbeam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
four decimal places
typebeam/b1c43907-80fa-4804-9f16-0edd887a0129
ex:FormattingSpecification
typebeam/e439b65d-d477-4a00-b619-b77ab784c2c2
ex:FormattingSpecification
typebeam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
ex:NumericFormat
typebeam/c9baa714-fb6f-4a4e-a32c-8544bdaa25ed
ex:NumericFormat

References (4)

4 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/b1c43907-80fa-4804-9f16-0edd887a0129
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b1c43907-80fa-4804-9f16-0edd887a0129
      Show excerpt
      # Calculate the BLEU score references = outputs.tolist() hypotheses = reformulated_outputs bleu_scores = [] for ref, hyp in zip(references, hypotheses): bleu_scores.append(sentence_bleu([ref.split()], hyp.split())) bleu_score = sum(b
  2. [2]beam-chunk2 facts
    customctx:claims/beam/e439b65d-d477-4a00-b619-b77ab784c2c2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e439b65d-d477-4a00-b619-b77ab784c2c2
      Show excerpt
      logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') def calculate_metrics(y_true, y_pred): accuracy = accuracy_score(y_true, y_pred) precision = precision_score(y_true, y_pred, zero_division=
  3. [3]beam-chunk2 facts
    customctx:claims/beam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
    • full textbeam-chunk
      text/plain1012 Bdoc:beam/80a16c0b-7043-48ab-aeb5-68a3a00737cb
      Show excerpt
      expanded_query = ' '.join(expanded_query_parts) end_time = time.time() latency = end_time - start_time print(f"Expanded Query: {expanded_query}, Latency: {latency:.4f} seconds") return expanded_query # Test th
  4. [4]beam-chunk1 fact
    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

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