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 Beijing Cancer Hospital - PPDS
Beijing, China
score: 66.3
#2 Miyagi Cancer Center
Natori-shi, Japan
score: 59.3
#3 National Taiwan University Hospital
Taipei, Taiwan
score: 59
#4 Massachusetts General Hospital
Boston, United States
score: 56.7
#5 Taipei Veterans General Hospital
Taipei, Taiwan
score: 48.2
#6 Guangdong Provincial People's Hospital
Guangzhou, China
score: 45.9
#7 Seoul National University Hospital
Seoul, South Korea
score: 45
#8 Hospital Universitario 12 de Octubre
Madrid, Spain
score: 44.3
After (Team Learned Policy)
#1 Beijing Cancer Hospital - PPDS
Beijing, China
score: 66.3
#2 Miyagi Cancer Center
Natori-shi, Japan
score: 59.3
#3 National Taiwan University Hospital
Taipei, Taiwan
score: 59
#4 Massachusetts General Hospital
Boston, United States
score: 56.7
#5 Taipei Veterans General Hospital
Taipei, Taiwan
score: 48.2
#6 Guangdong Provincial People's Hospital
Guangzhou, China
score: 45.9
#7 Seoul National University Hospital
Seoul, South Korea
score: 45
#8 Hospital Universitario 12 de Octubre
Madrid, Spain
score: 44.3
Rank Shift
#1 Beijing Cancer Hospital - PPDSafter #1 (0)
#2 Miyagi Cancer Centerafter #2 (0)
#3 National Taiwan University Hospitalafter #3 (0)
#4 Massachusetts General Hospitalafter #4 (0)
#5 Taipei Veterans General Hospitalafter #5 (0)
#6 Guangdong Provincial People's Hospitalafter #6 (0)
#7 Seoul National University Hospitalafter #7 (0)
#8 Hospital Universitario 12 de Octubreafter #8 (0)
#9 Dana Farber Cancer Instituteafter #9 (0)
#10 National Cheng Kung 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.