Data | Step 1: a cross-fitted base learner | Step 2: fairGATE in one call | Step 3: who was moved, and how reliably | A continuous outcome with the neural-network base learner | Working with the building blocks

1. Introduction | 2. The fairGNN Workflow | 2.1. Loading Data | 2.2. Step 1: Prepare the Data | 2.3. Step 2: Load Pre-computed Model Results | 2.4. Step 3: Analyse Basic Performance and Gates | 2.5. Step 4: Analyse Expert Specialisation | 2.6. Step 5: Visualise Patient Routing with a Sankey Plot