metadata
language:
- en
license: mit
pretty_name: FFR Center Failure Surface Routing v0.1
dataset_name: ffr-center-failure-surface-routing-v0.1
tags:
- clarusc64
- clinical
- cardiology
- ffr
- site-performance
- routing
- protocol-drift
- vendor-audit
task_categories:
- tabular-classification
- tabular-regression
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
Goal
When a center drifts
route the safest operational response.
This dataset treats each site
as a failure surface.
Not a single bad scan.
Inputs
Rolling site window metrics:
- image quality proxies
- protocol signature
- rolling performance (AUC, MAE)
- calibration error shift
- plausibility conflict rate
- drift type and risk
Required outputs
- failure_surface_type
- subgroup_affected
- intervention_route
- recalibration_needed
- protocol_reset_plan
- escalation_priority
- confidence_score
Failure surfaces
Examples:
- minor shift surface
- protocol drift surface
- silent decay surface
- quality collapse surface
- outside envelope surface
Intervention routes
Examples:
- continue
- tighten QA and monitor
- restrict use to low risk cases
- rescan or block output
- disable model at site
Why it matters
The same model can be safe at one site
and unsafe at another.
Hospitals need a clear route.
Vendors need early containment.
This dataset makes those actions
testable and repeatable.
Evaluation
The scorer checks the response includes:
- surface label
- subgroup label
- route + reset plan
- escalation priority
- confidence score 0 to 1