metadata
language:
- en
license: mit
pretty_name: Pharma Context Optimization & Response Enhancement Forecasting v0.1
dataset_name: pharma-context-optimization-response-enhancement-forecasting-v0.1
tags:
- clarusc64
- pharma
- placebo
- context
- clinical-trials
- response-forecasting
task_categories:
- tabular-regression
- tabular-classification
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Whether a system can forecast how contextual adjustments
alter treatment response and stability.
It treats context as a controllable amplifier
of therapeutic coherence.
Required outputs
- optimal_context_shift_set
- projected_response_gain
- placebo_amplification_ceiling
- nocebo_suppression_gain
- context_sensitivity_index
- forecast_confidence
Use case
Third layer of the Placebo/Nocebo Response Disentanglement Matrix.
Enables:
- context-aware trial design
- response amplification without dose escalation
- nocebo suppression strategies