Team Feedback Console
Reason tags
Effective Weights
Experience24.0%
Startup speed18.0%
PI capacity14.0%
Competitor coverage14.0%
CTGov relevance16.0%
Execution stability10.0%
Sponsor fit4.0%
prototype 02
Site Feasibility with Human Feedback
Team policy learns from multi-user feedback. Repeated single-user dislikes are capped; weight shifts require consensus.
Base Filter Context
Before (Team Baseline)
#1 Queen Mary Hospital
Hong Kong, Hong Kong
score: 86.5
#2 Beijing Cancer Hospital
Beijing, China
score: 76.6
#3 Research Site
Taipei, Taiwan
score: 74.7
#4 Henan Cancer Hospital
Zhengzhou, China
score: 69.9
#5 Zhejiang Cancer Hospital
Hangzhou, China
score: 68
#6 Tianjin Medical University Cancer Institute & Hospital
Tianjin, China
score: 64.1
#7 The First Affiliated Hospital, Zhejiang University
Hangzhou, China
score: 61.2
#8 Leningrad Regional Clinical Hospital
Saint Petersburg, Russia
score: 61.2
After (Team Learned Policy)
#1 Queen Mary Hospital
Hong Kong, Hong Kong
score: 86.5
#2 Beijing Cancer Hospital
Beijing, China
score: 76.6
#3 Research Site
Taipei, Taiwan
score: 74.7
#4 Henan Cancer Hospital
Zhengzhou, China
score: 69.9
#5 Zhejiang Cancer Hospital
Hangzhou, China
score: 68
#6 Tianjin Medical University Cancer Institute & Hospital
Tianjin, China
score: 64.1
#7 The First Affiliated Hospital, Zhejiang University
Hangzhou, China
score: 61.2
#8 Leningrad Regional Clinical Hospital
Saint Petersburg, Russia
score: 61.2
Rank Shift
#1 Queen Mary Hospitalafter #1 (0)
#2 Beijing Cancer Hospitalafter #2 (0)
#3 Research Siteafter #3 (0)
#4 Henan Cancer Hospitalafter #4 (0)
#5 Zhejiang Cancer Hospitalafter #5 (0)
#6 Tianjin Medical University Cancer Institute & Hospitalafter #6 (0)
#7 The First Affiliated Hospital, Zhejiang Universityafter #7 (0)
#8 Leningrad Regional Clinical Hospitalafter #8 (0)
#9 Samsung Medical Centerafter #9 (0)
#10 Seoul National University Hospitalafter #10 (0)
Consensus Guardrails
Feedback Log (Audit)
No feedback yet.
update log
Prototype Change Log
2026-03-01 · v0.3.0
Team Policy Persistence and Consensus Aggregation
- - Added persistent team profiles and server-side feedback event store.
- - Added multi-user consensus aggregation for effective weight updates.
- - Added anti-abuse controls: single-user daily cap, repeated action decay, and max per-reason shift.
2026-03-01 · v0.2.0
Human Feedback Reinforcement Layer Added
- - Added before-vs-after ranking comparison.
- - Added explicit feedback actions (like/dislike) with reason tags.
- - Introduced adaptive weight updates and audit feedback log.