Unverified50% confidenceFactExact time
基于大型GWAS的LDL-PRS在欧洲祖先群体中可达约0.3-0.4的皮尔逊相关系数，而在非欧洲祖先群体中性能衰减明显
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Quantum Optimization with QAOA + Elastic Net: A Practical Look at Genomic Variant Selection
redditr/learnmachinelearning7/11/2026
Related Claims
Unverified绝大多数GWAS研究基于欧洲血统人群，导致对非欧洲人群的PRS预测精度显著下降75% similarUnverifiedAccording to OpenAI's early 2024 technical report, by annotating sycophantic behavior in RLHF data and assigning negative rewards, the unconditional acquiescence rate of subsequent GPT-4 iterations declined.55% similarUnverifiedGLM-4.6 has an activation ratio of approximately 9%, which is a relatively aggressive sparse design among current MoE models.54% similarUnverified据HyperSAE作者披露，在Gemma-2-2B模型上传统欧几里得SAE的死亡潜变量比例高达3.8%52% similarUnverifiedGLM-5.2's score on the Frontiers-WE benchmark improved from the low 30s in the previous generation to 74.52% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/492778API
curl https://kongchang.com/api/v1/knowledge/claims/492778MCP
get_claim(id=492778)