abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Estimate global main effects and interactions across uncertain inputs using screening/decomposition methods such as Morris→Sobol or an equivalent supplied method.
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Estimate global main effects and interactions across uncertain inputs using screening/decomposition methods such as Morris→Sobol or an equivalent supplied method.
name: decompose-global-sensitivity description: "Estimate global main effects and interactions across uncertain inputs using screening/decomposition methods such as Morris→Sobol or an equivalent supplied method."
Estimate global main effects and interactions across uncertain inputs using screening and decomposition.
required: [model, uncertain_inputs, output_metric] optional: [input_distributions, screening_method, decomposition_method] constraints: [input distributions and sampling design must be declared]
1. Define input ranges/distributions and the output metric. 2. Screen influential variables with Morris or an equivalent declared method. 3. Estimate main and interaction effects with Sobol or an equivalent variance decomposition. 4. Compare sensitivity rankings across sampling assumptions.
produces: [screening_report, main_effects, interaction_effects, sensitivity_ranking] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not report global sensitivity when ranges are arbitrary, model evaluations are invalid, or interactions were omitted without notice.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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