abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct a network-meta-analysis evidence graph and evaluate connectivity/transitivity prerequisites.
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Construct a network-meta-analysis evidence graph and evaluate connectivity/transitivity prerequisites.
name: construct-evidence-network description: "Construct a network-meta-analysis evidence graph and evaluate connectivity/transitivity prerequisites."
Construct an evidence graph for network synthesis and evaluate connectivity, transitivity, and comparison support.
required: [evidence_records, intervention_nodes, outcome_schema] optional: [study_designs, effect_sizes, covariate_schema] constraints: [edges require a shared outcome definition and traceable comparison evidence]
1. Normalize interventions, comparators, outcomes, and study-level edges. 2. Build the direct and indirect comparison graph with effect-support provenance. 3. Check connectivity and transitivity assumptions across connected components. 4. Report usable components, unsupported links, and synthesis limitations.
produces: [evidence_graph, connected_components, transitivity_assessment, unsupported_links, synthesis_readiness] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not create indirect evidence from incomparable populations or outcomes, and do not treat graph connectivity as proof of exchangeability.
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
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.