trial_id stringclasses 10
values | signal_detection_drift stringclasses 3
values | ae_coding_variance stringclasses 3
values | unblinding_risk stringclasses 3
values | dsmb_decision_delay stringclasses 2
values | label stringclasses 3
values |
|---|---|---|---|---|---|
T601 | high | high | high | high | collapse_risk |
T602 | low | low | low | low | coherent |
T603 | high | low | high | low | tradeoff |
T604 | medium | high | low | high | tradeoff |
T605 | high | high | low | high | tradeoff |
T606 | low | high | high | high | tradeoff |
T607 | medium | low | high | high | tradeoff |
T608 | high | medium | medium | high | tradeoff |
T609 | low | medium | low | high | tradeoff |
T610 | medium | low | low | low | coherent |
Clinical Quad: Signal Detection Drift × AE Coding Variance × Unblinding Risk × DSMB Decision Delay
This dataset targets safety governance collapse.
Signals weaken or shift.
AE coding diverges across sites.
Unblinding pressure rises.
The DSMB response slows.
The quad can turn a manageable safety issue into a governance failure.
Variables
- signal_detection_drift (low | medium | high)
- ae_coding_variance (low | medium | high)
- unblinding_risk (low | medium | high)
- dsmb_decision_delay (low | medium | high)
Labels
- coherent
- tradeoff
- collapse_risk
Collapse rule
All four dimensions high.
Why it matters
You want models to spot when “we are monitoring safety” is no longer true in practice.
- Downloads last month
- 12