Estimating Uncoded Crash Factors with Tabular Foundation and System One Models: Kumo Tabular and Jev
Road safety programs count the coded fields of police crash records, while the officer's narrative, which often records factors the fields omit, is rarely read. A safety office thus cannot tell how much its counts miss or where to review. This study develops and evaluates a system that joins both views of the 5,601,890 Texas crashes from 2017 to 2025 into population estimates with stated validity. An in-context tabular foundation model, Kumo Tabular, reads the coded record of every crash, a calibrated System One model, Jev, reads the narratives of two probability samples, and human judgments recalibrate its probabilities. A multiwave predict-then-debias estimator joins the three tiers, an...
| Authors | Amir Rafe, Subasish Das |
|---|---|
| Primary category | stat.AP |
| Published | 7 October 2026 |
| Last updated at source | 7 October 2026 |
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