---
language: en
license: mit
pretty_name: AlphaFold Misinterpretation Classifier v2
task_categories:
- text-classification
- text-generation
tags:
- protein
- alphafold
- structural-biology
- uncertainty
- evaluation
size_categories:
- n<1K
---

AlphaFold Misinterpretation Classifier

Purpose  
Detect common ways people overclaim from AlphaFold outputs.

Input fields  
- protein_context  
- alphafold_signals  
- proposed_inference  

Required output  
Return one JSON object

- misinterpretation  
  yes or no  
- error_type  
  must match allowed list  
- correction  
  one sentence

Allowed error_type values  
- no_error  
- low_confidence_region_overtrust  
- interdomain_orientation_overclaim  
- disorder_as_structure  
- loop_position_overtrust  
- complex_negation_from_monomer  
- interface_overconfidence  
- cofactor_absence_misread  
- low_complexity_as_domain  

Scoring  
- misinterpretation_accuracy  
- error_type_accuracy  
- correction_similarity  
- format_pass_rate

Run scoring  
python scorer.py --predictions predictions.jsonl --test_csv data/test.csv