ClarusC64/clinical-placebo-meaning-biology-interaction-topology-classification-v0.1
What this dataset tests Whether a model can classify how meaning and biology interactin driving an observed outcome. Required outputs interaction_topology dominance_order failure_mode Interaction topology labels additive amplifying suppressive overriding antagonistic Dominance order biology_over_meaning meaning_over_biology balanced Failure modes placebo_masking nocebo_suppression meaning_override_false_positive biology_misattribution high_uncertainty… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-meaning-biology-interaction-topology-classification-v0.1.
What this dataset tests
Whether a model can classify how meaning and biology interact in driving an observed outcome.
Required outputs
- interaction_topology
- dominance_order
- failure_mode
Interaction topology labels
- additive
- amplifying
- suppressive
- overriding
- antagonistic
Dominance order
- biologyovermeaning
- meaningoverbiology
- balanced
Failure modes
- placebo_masking
- nocebo_suppression
- meaningoverridefalse_positive
- biology_misattribution
- high_uncertainty
- none
Suggested prompt wrapper
System
You classify meaning–biology interaction topology.
User
Belief {beliefstatesummary}
Context {contextual_framing}
Biomarkers {biomarker_trajectory}
Outcomes Subjective: {subjectiveoutcome} Objective: {objectiveoutcome}
Return
- one topology
- dominance order
- one failure mode
- one sentence evidence
Citation
ClarusC64 dataset family