LensReading which lens this session carries.
RD5A-1018Evidence postedmedium materiality

Model at deploy

Pierre Nakamura

Research & Development · Data Science & Modeling · RD5A Model Development

$61k

value

80%

confidence

12

people affected

6h 18m

age

6h 50m

sla

100%

progress

Currently held by

Model Training Agent

An agent owns the next move

Raised by

Tomas Duarte

Requester of record

At station

Deploy

Policy layer · station 8 of 8

Where this train is on the line

RD5AModel DevelopmentTransactional · 8 stations

Frame problem

0 q

Engineer features

31 q

Train

13 q

Validate

27 q

Explainability pack

4 q

Reviewer approve

9 q

Register

2 q

Deploy

1 live

Evidence trail

Every station this unit has passed, who acted, and what they left behind

This is the readable trail. The same actions are held in the append-only evidence spine with their authority grant, version stamps and hash links; open the auditor pack to see them.

  1. Cleared validate

    -378m

    Feature Engineering Agent

    Spine control pack posted, three-way evidence attached

  2. Cleared explainability pack

    -302m

    Explainability Agent

    Inputs, rule version and output hash written to the evidence log

  3. Cleared reviewer approve

    -227m

    Director, Data Science

    Approval recorded with rationale and policy clause cited

  4. Cleared register

    -151m

    Feature Engineering Agent

    Spine control pack posted, three-way evidence attached

  5. Holding at deploy

    -76m

    Director, Data Science

    Inputs, rule version and output hash written to the evidence log

What happens next

The next station and its rule

This is the last station. Once it clears, the unit closes and the outcome is booked.

Why the signal is what it is

Plain reading of the current state

Amber. The agent completed the work but the outcome fell into a sampling band, so it posted evidence for review rather than closing silently. Work carries on; a human confirms after the fact.