Domain experience
Attributed CEA project or operating context that establishes relevant domain work, not automatic Platform use or product performance.
Evidence, validation and project experience
This page classifies what a public record can establish. Domain experience, implemented product behaviour, research evidence and external validation have different meanings and publication thresholds.
Evidence classes
Four records that must not be conflated.
Each class answers a different question about the company, product or method.
Product implementation evidence
Observable software behaviour or a repeatable internal workflow, reported through the canonical Product Status register with its limitations.
Research evidence
A defined question, protocol, baseline, metric, result and limitation. Product implementation alone is not a research result.
External project or product validation
A documented organisation, independent reviewer or external study has evaluated a stated project or product scope with publication permission.
Public record
A published claim carries its classification and boundary.
A public evidence record identifies the source, attribution, relationship to Crop Urbanis, scope, method where applicable, date, permission, limitation and whether the record concerns domain experience, product implementation, research or external validation.
- Classification rule
- A record is published only under the strongest evidence class actually supported; architecture and status descriptions are not presented as measured outcomes.
- Naming rule
- An organisation is not named as a customer, beta participant, collaborator or partner without documented permission.
Current external-validation status
No public external Platform-validation result is currently published.
Current implementation status and research questions are reported on their canonical pages. They should not be interpreted as an external performance result.
Canonical records
Follow the page that owns the claim.
Product Status
Implementation, limitations, availability and next validation.
Research
Questions, protocols, comparators, metrics and evidence status.
Case-study archive
Attributed historical records with explicit relationship and publication boundaries.