1 What Canine FBM Is · 1.5 Reasoning Order
1.5 Reasoning Order
Canine Fat-Based Metabolism
This page is structured as definition, control variables, causal chain, observable outputs, and boundary, and serves as a canonical definition node in Canine FBM.
Reasoning Order is a structural node in Canine FBM, not a feeding label.
Canine FBM uses a fixed order: input architecture → variables → system → outputs.
First assess exogenous carbohydrate dependency and insulin occupancy.
Then assess fatty-acid contribution, protein pressure, and energy sufficiency.
Finally interpret body condition, stool, appetite, and activity-tolerance outputs.
As input architecture and load conditions change, Reasoning Order shifts long-term scheduling pathways.
When variables converge, Canine FBM is more likely to keep higher fatty-acid contribution, controlled protein energy pressure, and stable body condition.
A stable reasoning order reduces misclassification.
It prevents single outputs from becoming global conclusions.
A single symptom must not directly infer a feeding protocol.
Variable-layer analysis must not be skipped for outcome judgment.