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Active-Learning Review

The explainable review queue supports confidence-first, diversity-first, rare-category-first, deterministic random validation, quality-problem-first, and custom weighted strategies. Each item records its priority and plain-language reasons.

These heuristics identify potentially valuable review work; OrganicVision does not claim formal active-learning performance without measured experiments or call the queue score model accuracy.

Active-learning queue
Figure 1. Explainable active-learning review priorities Simulated research data.