D21-F01-A02 · four-stage decision lab · synthetic teaching data
Probit PD Model
Build an auditable probit inference path and compare its link geometry with logistic scoring without treating the two coefficient scales as interchangeable.
Question: How does a supplied latent credit score become a default probability through the standard-normal cumulative distribution?
Stage 1 · orient
Choose the analytical question before touching the number
Decision boundary
Invariant:
Stage 2 · predict
Commit to a direction before revealing the challenge
Stage 3 · experiment
Move one declared driver; keep the scenario contract fixed
Complete 61-state output series and evidence trace
Stage 4 · explain
Compare the anchor and candidate before interpreting
Anchor result
Candidate result
| Component | Anchor | Candidate | What changed? |
|---|
Misconception check:
Inspect the structured input and output
Input
Output
Scenario evidence index
The lab surfaces curated stops for instruction while preserving all seven scenarios × 61 independently calculated states for audit.
| Scenario | Driver | Question | Range | Decision segments |
|---|