Mismatch Indices
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Mismatch Indices has 4 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
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.
iteratesOverIterates Over(4)
- For Loop
ex:for-loop - For Loop
ex:for-loop - Logging Loop
ex:logging-loop - Loop Variable
ex:loop-variable
consistsOfConsists of(1)
- Mismatch Details
ex:mismatch-details
containsVariableContains Variable(1)
- Code Segment
ex:code-segment
findsFinds(1)
- Log Score Mismatches
ex:log_score_mismatches
identifiesIdentifies(1)
- Threshold Application
ex:threshold-application
processesProcesses(1)
- Logging Loop
ex:logging-loop
Other facts (4)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Log Information | [1] |
| Rdf:type | Data Structure | [2] |
| Included in | Detailed Log Structure | [1] |
| Assigned From | Np.where Result | [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.
References (3)
ctx:claims/beam/e37a7536-81bf-426c-bec2-f065816eeca3ctx:claims/beam/ce953854-d151-4cac-b4e7-c4c5a5583796- full textbeam-chunktext/plain1 KB
doc:beam/ce953854-d151-4cac-b4e7-c4c5a5583796Show excerpt
# Calculate score mismatches mismatches = np.abs(sparse_scores - dense_scores) # Find indices where mismatches exceed the threshold mismatch_indices = np.where(mismatches > threshold)[0] # Log detailed informat…
ctx:claims/beam/6223a392-38d5-4eaa-966d-ea0055735550- full textbeam-chunktext/plain1 KB
doc:beam/6223a392-38d5-4eaa-966d-ea0055735550Show 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( …
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