ClarusC64/clinical-placebo-biochemical-meaning-signal-decomposition-v0.1
What this dataset tests Whether a model can separate outcome signalinto biochemical and meaning-response components. It penalizes attributing everything to biology ignoring belief and context failing to admit uncertainty Required outputs projected_biochemical_effect_0_100 projected_meaning_response_0_100 residual_uncertainty_0_100 Suggested prompt wrapper System You decompose clinical outcomes into biochemical and meaning components. User Intervention{intervention}… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-biochemical-meaning-signal-decomposition-v0.1.
What this dataset tests
Whether a model can separate outcome signal into biochemical and meaning-response components.
It penalizes
- attributing everything to biology
- ignoring belief and context
- failing to admit uncertainty
Required outputs
- projectedbiochemicaleffect0100
- projectedmeaningresponse0100
- residualuncertainty0_100
Suggested prompt wrapper
System
You decompose clinical outcomes into biochemical and meaning components.
User
Intervention {intervention}
Belief State {beliefstatesummary}
Context {contextual_framing}
Biomarkers {baselinebiomarkers} → {biomarkertrajectory}
Outcomes Subjective: {subjectiveoutcome} Objective: {objectiveoutcome}
Return
- three scores summing to approximately 100
- one sentence justification
Citation
ClarusC64 dataset family