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ClarusC64/pharma-pharmacological-vs-contextual-signal-separation-v0.1

What this dataset tests Whether a system can separate pharmacological effect from contextual modulationin placebo-controlled clinical trial settings. It treats context as a learnable component of the outcome manifold. Required outputs pure_pharmacological_effect contextual_amplification_factor nocebo_risk_index signal_separation_confidence effect_stability_score Use case Second layer of the Placebo/Nocebo Response Disentanglement Matrix. Improves efficacy estimation by preventing:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/pharma-pharmacological-vs-contextual-signal-separation-v0.1.

sourceHugging Facemitupdated 8mo agoView on Hugging Face

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What this dataset tests

Whether a system can separate pharmacological effect from contextual modulation in placebo-controlled clinical trial settings.

It treats context as a learnable component of the outcome manifold.

Required outputs

—purepharmacologicaleffect
—contextualamplificationfactor
—noceboriskindex
—signalseparationconfidence
—effectstabilityscore

Use case

Second layer of the Placebo/Nocebo Response Disentanglement Matrix.

Improves efficacy estimation by preventing:

—placebo lift being counted as drug effect
—nocebo effects being misread as toxicity
—unstable effects being over-trusted