Unverified50% confidenceFactExact time
In the Bloom-Counter article, the reviewer pointed out that the authors summarized the overexposure condition as essentially unaffected, when in fact the 15 false positives (precision 0.933) were bleached leaf fragments disguised as buds, and that brightening to create the target and darkening to lose the target are two different failure modes.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe author introduced a logical rule to fix the false positive: if the loss is improving, then a gradient norm of 0 is a reporting-layer artifact, at which point the check should actively stand down and log the reason for standing down as a visible skip.71% similarUnverifiedA blind review diagnosis conducted by the researchers indicated that many so-called errors actually stem from differences in benchmark granularity, alias handling, and ontology selection effects, rather than unreasonable framework predictions.68% similarUnverifiedThe paper makes a falsifiable prediction: warrant metrics will reveal substantive failures missed by existing evaluation methods.67% similarUnverifiedThe base rate fallacy points out that when targets are extremely rare, even a highly accurate system may produce a large proportion of false alarms among its alerts.67% similarUnverifiedThe study establishes non-asymptotic bounds on the conditional score estimation error, i.e., bounds that hold for finite sample sizes66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1074233API
curl https://kongchang.com/api/v1/knowledge/claims/1074233MCP
get_claim(id=1074233)