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README.md
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---
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language: en
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license: mit
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pretty_name: AlphaFold Misinterpretation Classifier v2
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task_categories:
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- text-classification
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- text-generation
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tags:
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- protein
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- alphafold
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- structural-biology
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- uncertainty
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- evaluation
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size_categories:
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- n<1K
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---
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AlphaFold Misinterpretation Classifier
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Purpose
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Detect common ways people overclaim from AlphaFold outputs.
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Input fields
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- protein_context
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- alphafold_signals
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- proposed_inference
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Required output
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Return one JSON object
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- misinterpretation
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yes or no
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- error_type
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must match allowed list
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- correction
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one sentence
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Allowed error_type values
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- no_error
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- low_confidence_region_overtrust
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- interdomain_orientation_overclaim
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- disorder_as_structure
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- loop_position_overtrust
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- complex_negation_from_monomer
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- interface_overconfidence
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- cofactor_absence_misread
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- low_complexity_as_domain
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Scoring
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- misinterpretation_accuracy
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- error_type_accuracy
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- correction_similarity
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- format_pass_rate
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Run scoring
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python scorer.py --predictions predictions.jsonl --test_csv data/test.csv
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