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Dense Score

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

Dense Score has 3 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

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

Rdf:typein disputerdf:type

  • Field[1]all time · B5922a4d 0e9e 426c Bf72 B2561710a1f7
  • Float[2]all time · 6223a392 38d5 4eaa 966d Ea0055735550
  • Numerical Metric[3]sourceall time · 094d5784 9736 417a B216 D7a8d4224478

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.

derivedFromDerived From(1)

includesInLogIncludes in Log(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.

3 undated
—
typebeam/b5922a4d-0e9e-426c-bf72-b2561710a1f7
ex:Field
—
typebeam/6223a392-38d5-4eaa-966d-ea0055735550
ex:Float
—
typebeam/094d5784-9736-417a-b216-d7a8d4224478
ex:NumericalMetric

References (3)

3 references
  1. [1]B5922a4d 0e9e 426c Bf72 B2561710a1f71 fact
    customctx:claims/beam/b5922a4d-0e9e-426c-bf72-b2561710a1f7
  2. [2]beam-chunk1 fact
    customctx:claims/beam/6223a392-38d5-4eaa-966d-ea0055735550
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6223a392-38d5-4eaa-966d-ea0055735550
      Show excerpt
      # Find indices where mismatches exceed the threshold mismatch_indices = np.where(mismatches > threshold)[0] # Log detailed information for each significant mismatch for idx in mismatch_indices: logger.warning( …
  3. [3]beam-chunk1 fact
    customctx:claims/beam/094d5784-9736-417a-b216-d7a8d4224478
    • full textbeam-chunk
      text/plain1 KBdoc:beam/094d5784-9736-417a-b216-d7a8d4224478
      Show excerpt
      ``` Here, `-w 4` specifies 4 worker processes, and `-t 2.5` sets a 2.5-second timeout. ### Step 4: Implement Hybrid Ranking Logic Here's a complete example implementation: ```python from flask import Flask, request, jsonify from flask_l…

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