Unverified50% confidenceFactExact time
An arXiv paper uses interpretable machine learning to predict patients' BDI-II scores at week 12 and week 24 following a mindfulness intervention.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA study published on arXiv (arXiv:2610.02267) conducted paired evaluations of System-1 decision models and performed a self-audit of its own evaluation process.64% similarUnverifiedA study from arXiv proposed a test-time optimization method that improves the completeness and reliability of LLM explanations by removing concepts not mentioned in the input.64% similarUnverifiedAn arXiv study (arXiv:2609.26945v1) proposed a sentence-level evaluation benchmark to test the ability of large language models to identify legal interpretation canons.64% similarUnverifiedThe study proposes the Action Representation Probe (ARP) method, which focuses on representations formed at action decision moments to predict whether a task will succeed.63% similarUnverifiedA study on arXiv (arXiv:2609.04300v1) proposes a machine learning-based data-optimized contingency screening method for power system security assessment.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/986724API
curl https://kongchang.com/api/v1/knowledge/claims/986724MCP
get_claim(id=986724)