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README.md
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---
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language:
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- en
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license: mit
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pretty_name: Clinical Etiological Pathway Divergence Mapping v0.1
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dataset_name: clinical-etiological-pathway-divergence-mapping-v0.1
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tags:
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- clarusc64
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- clinical
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- etiological
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- pathway
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- basin-map
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- divergence
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task_categories:
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- text-classification
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train.csv
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- split: test
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path: data/test.csv
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---
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What this dataset tests
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Whether a model can identify how different etiological pathways
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enter the same stable illness basin.
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Required outputs
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- pathway_type
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- entry_signature_top5
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- distance_from_basin_core_0_100
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Pathway types
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- viral_triggered
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- stress_triggered
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- toxic_exposure
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- iatrogenic
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- mixed_or_unknown
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Typical failures
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- using basin_id as a proxy for pathway
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- ignoring early phase features
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- outputting distance with no rationale
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Suggested prompt wrapper
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System
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You map etiological pathway divergence into a shared basin.
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User
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Basin
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{basin_id}
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Early phase
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{early_phase_features}
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Established basin features
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{established_basin_features}
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Return
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- pathway type
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- top 5 entry signature features
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- distance from basin core
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- one sentence evidence
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Citation
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ClarusC64 dataset family
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