Decision object model
Keep states distinct.
Evidence, inference, modeled consequence, recommendation, proposal, approval, execution, confirmation, and closure are different objects. A later state references the earlier one; it does not rewrite it.
Evidence & method
CrisisFlow exposes how evidence becomes an exposure path, how bounded consequence scenarios are constructed, how sensitivities are tested, how portfolios are screened, and where validation remains open.
Decision object model
Evidence, inference, modeled consequence, recommendation, proposal, approval, execution, confirmation, and closure are different objects. A later state references the earlier one; it does not rewrite it.
Matching hierarchy
Use stable identifiers and authoritative coordinates or polygons first. Then apply hazard-appropriate administrative, distance, corridor, entity, product, jurisdiction, route, or technology relationships. Material ambiguity remains unresolved.
Consequence construction
Show inputs, units, evidence state, and transformation rule. Low, base, and high are explicit modeled scenarios, not percentiles. Decision-switch sensitivity shows where the preferred portfolio changes while other inputs remain fixed.
Portfolio formulation
The public case enumerates all 32 subsets of five actions. It minimizes a declared weighted shortfall objective, screens eight constraint classes, and applies deterministic tie-breakers to the eligible set.
Reproducibility
Every case identifies its source version, input manifest, formula version, and release hash. The calculation is deterministic and local: unchanged schema-checked inputs produce unchanged outputs.
Bounded formulation
No solver, remote model, or lookup table is used in the public case. Every subset is evaluated in the browser against the same disclosed rules.
Objective / lower is preferred
3 × priority missed units + standard missed unitsValidation boundary
The demonstration shows traceability, deterministic behavior, and constraint handling. It does not establish predictive accuracy, causal action effectiveness, universal network coverage, product superiority, or improved customer outcomes.
Technical diligence without a black box.
The Technical Methods Note expands the decision objects, matching rules, range construction, portfolio formulation, reproducibility controls, validation scope, and selected research references with complete citations.