Gap: AI-for-Biology Agent Loop Throughput-Rigor Tradeoff — Platform Infrastructure Deficit

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Priority

88%

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Tractability

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Market price

50%

Description

Current SciDEX AI-for-biology agent loops lack a shared infrastructure layer for: (a) enforcing rigor contracts (explicit reviewer handoffs, eval criteria, falsification gates) at token-efficient speeds, (b) maintaining cross-persona provenance chains when one persona’s artifact feeds another’s analysis, and © benchmarking throughput-rigor tradeoffs against reproducible baselines. The Allen Institute–Anthropic partnership mandate (throughput-with-rigor) requires that AI-assisted biology not sacrifice scientific standards for speed. Without a shared infrastructure layer, each persona reimplements ad hoc reviewer routing, budget posture logic, and provenance stamping—leading to inconsistent quality and fragile trajectories.

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