ClarusC64/alphafold_misinterpretation_classifier_v01

AlphaFold Misinterpretation Classifier (AMC) v0.1

Purpose

Help models spot when AlphaFold outputs are used to make claims that go beyond their scope. Teach restraint. Promote correct boundaries around structural interpretation.

Columns

• —claim
• —misinterpretation_type
• —reason_hint
• —action

misinterpretation_type examples

• —functionfromstructure: assuming activity from fold
• —binding_assertion: assuming ligand interaction
• —metric_confusion: misreading confidence or aligned error
• —state_fixation: treating one conformation as the only state
• —taxonomy_jump: treating confidence as family evidence

action

• —refuse: decline and point out the jump
• —request_context: ask for missing conditions
• —answerwithcorrection: correct logic without overreach

Use

• —evaluation on biomedical hallucination
• —model alignment training around biological scope limits
• —developer sanity checks for RAG systems using AlphaFold output

Boundaries

No lab instructions. No sequence design. No optimization paths. All statements focus on conceptual fit, not engineering.