Detection Goal Check
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Detection Goal Check has 8 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(2), has condition(1), checks truthiness(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
containsConditionalLogicContains Conditional Logic(1)
- Example Usage
ex:example-usage
rdf:typeRdf:type(1)
- Conditional Structure
ex:conditional-structure
syntaxSyntax(1)
- Conditional Check
ex:conditional-check
Other facts (7)
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 | Conditional Statement | [1] |
| Rdf:type | Control Structure | [3] |
| Has Condition | All Scores Check | [1] |
| Checks Truthiness | Response Variable | [2] |
| True Branch | Log Info Success | [3] |
| False Branch | Log Warning Failure | [3] |
| Structure | if-else | [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/5e4120cd-154f-4526-806b-66e6ad6a75b5- full textbeam-chunktext/plain1 KB
doc:beam/5e4120cd-154f-4526-806b-66e6ad6a75b5Show excerpt
[Turn 1166] User: I'm working on a proof of concept for testing 2 retrieval tools on 400 documents, and I want to achieve 90% recall, but I'm having trouble with the implementation, can someone help me with this? ```python import numpy as …
ctx:claims/beam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1c- full textbeam-chunktext/plain1 KB
doc:beam/1b2505f8-2563-403c-80b7-ae8c3a4cdd1cShow excerpt
"temperature": temperature, "top_k": top_k, "top_p": top_p, "repetition_penalty": repetition_penalty, "seed": seed } try: response = requests.post(endpoint, headers=headers, json=…
ctx:claims/beam/f1361208-940f-4465-9511-45a9712f9f3e
See also
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