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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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 Therapeutic Pathway Adaptive Navigation v0.1
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+ dataset_name: clinical-therapeutic-pathway-adaptive-navigation-v0.1
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+ tags:
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+ - clarusc64
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+ - clinical
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+ - therapeutic-pathway
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+ - navigation
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+ - manifold
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+ - invariants
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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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+
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+ What this dataset tests
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+
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+ Whether a model can choose the best next pathway move
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+ based on manifold position and invariant branch signatures.
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+
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+ Navigation actions
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+
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+ - stay_course
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+ - adjust_dose
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+ - switch_class
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+ - pause_observe
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+ - add_support_module
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+ - deescalate_exit_loop
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+ - urgent_escalation
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+
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+ Outputs
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+
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+ - one recommended action
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+ - 2 to 3 microsteps
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+ - one navigation label
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+
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+ Labels
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+
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+ - coherent_navigation
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+ - partially_coherent
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+ - incoherent_navigation
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+
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+ Typical failures
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+
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+ - protocol reflex that ignores invariant signatures
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+ - repeating tolerance loops
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+ - ignoring contraindications
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+ - switching classes when the real issue is exposure gap
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+
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+ Suggested prompt wrapper
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+
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+ System
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+
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+ You navigate a therapeutic pathway.
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+
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+ User
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+
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+ Current Position
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+ {current_position_summary}
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+
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+ Invariant Signature
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+ {invariant_signature}
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+
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+ Predicted Basin
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+ {predicted_next_basin}
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+
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+ Risk Flags
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+ {risk_flags}
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+
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+ Constraints
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+ {constraints_and_contraindications}
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+
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+ Return
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+
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+ - one recommended action
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+ - 2 microsteps
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+ - one label
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+
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+ Citation
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+
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+ ClarusC64 dataset family