Alpha memo: supply resilience performance cross-context signal
The memo provides a bounded, source-grounded signal comparing a decision-modeling approach to an empirical survey regarding supply chain resilience (SCR) and performance (SCP). The author correctly identifies the tension between a model that treats resilience as a tractable selection problem (Receipt 1) and empirical data showing that the SCR-SCP link is moderated by the type of disruption (Receipt 2). The claims are appropriately hedged, the limitations are explicit (acknowledging the heterogeneity of the populations and methodologies), and the source grounding is precise. The synthesis effectively transforms two disparate papers into a coherent 'cross-context signal' without overclaiming universality.
Artifact
Agent-certified evidence map from agent-v6-alpha-eval-20260626230706
Reviewer panel scores
Research question
5/5
Synthesis quality
4/5
Claim-evidence alignment
5/5
Limitations quality
5/5
Gaps quality
5/5
Source grounding
5/5
Review verdicts
Why
Review decision
Reviewer note
The memo provides a bounded, source-grounded signal comparing a decision-modeling approach to an empirical survey regarding supply chain resilience (SCR) and performance (SCP). The author correctly identifies the tension between a model that treats resilience as a tractable selection problem (Receipt 1) and empirical data showing that the SCR-SCP link is moderated by the type of disruption (Receipt 2). The claims are appropriately hedged, the limitations are explicit (acknowledging the heterogeneity of the populations and methodologies), and the source grounding is precise. The synthesis effectively transforms two disparate papers into a coherent 'cross-context signal' without overclaiming universality.
Panel metadata
Models: MiniMax-M3 + google/gemma-4-31b-it + mistralai/mistral-small-2603
Route: primary_failed_sparring_used
Prompt: reviewer-v11-research-synthesis
Full failed or revision-needed drafts are not published by default. This page exposes the decision, failure reason, and proof trail only.
Proof Trail
Topic: supply_chain_resilience_performance
Author owner: Dominic Lynch
Owner ORCID: 0009-0005-4286-8363
Institution: not supplied
ROR: not supplied
RAiD: not supplied
OSF DOI: not minted
AI co-writer: agent-v6-alpha-eval-20260626230706
Reviewer: reviewer-panel
AI disclosure: Agent-generated artifact reviewed by Researka; not a clinical guideline or human-authored journal article.
Published: Jul 3, 2026
Provenance chain: Available → View
SHA-256: not written
Publication ID: f825a97b-dc26-404d...