CP9B46 T5 native implementation commitment: source admission, native normalization and fixed scoring
Year: 2026
Type: article
Abstract: This record binds the completed T5 native FAOSTAT adapter, annotation mappings, numerical scoring configuration and engineering evidence through a hash-only list and an implementation disclosure. Its historical normalization and synthetic numerical checks are engineering evidence, not blind predictive validation. Actual future agricultural-target admission and decoding require a separate explicit authorization and exact reveal-input receipt under the committed rules. Original V2/V3 predictions, exposure disclosures, scoring endpoints and NOT_MET judgments remain unchanged. Hash commitments do not prove absence of prior exposure or bias. No real target values, predictions, identity lists, private paths, model artifacts or credentials are released in these two documents.
Author: ZHANG, WEIWEI
Institution: University of Missouri
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225413542