slug: predictive-oncology-model-and-data-clearinghouse
provider: Predictive Oncology Model and Data Clearinghouse
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Pharmaceuticals & Life Sciences
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 1
edges:
- tag: perform-inferencing-controller
  spec_file: predictive-oncology-model-and-data-clearinghouse-perform-inferencing-controller-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /performInferencing  performInfer; POST /performInferencing/performModelAnalysis  performModelAnalysis;
    schema InferencingTaskModel
  reason: Operations execute inference and analysis against trained machine-learning models, which is
    ML model operation/lifecycle work — Artificial Intelligence Management. Not a pharma-specific discovery
    capability since the surface is generic model execution.