---
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