Real-time scientific quality scores updated after every analysis run. All metrics are computed from live data — no cherry-picking.
Four core quality signals measured on every run and reported here from recent saved analysis records — a limited sample, since not every run persists a durable snapshot, so treat these as directional. Green = meets bar, amber = marginal, red = below threshold.
Last 30 analysis runs. Each point represents one analysis session.
The first three cards report distinct platform counts: analyses processed by the learning engine, durable saved snapshots, and configured data sources. The fourth card is a separate canonical engineering-proof state — not a biological benchmark result.
GaiaWorld tests a separate biological-prediction workflow by freezing the evaluation boundary, lanes, primary metric, and prediction hashes before one-time scoring. It publishes negative and positive results. This is evidence about an evaluation process—not a clinical, causal, safety, efficacy, or treatment claim.
GaiaLab's platform code is proprietary, but its scientific claims are held to a public standard: every metric on this page is computed on live data after each analysis, and forward-looking predictions are pre-registered and hashed before outcomes are known — so results can be independently checked without access to the engine.
# Prospective validation — pre-registered, tamper-evident # Drug-repurposing study sealed 2026-07-17, readout 2028-01-17 # 357 Tier II+ predictions (no trial at lock) vs 148 matched controls # cohort hash: daaed957d2d38171b6a626b11d2a6df48a6262165fc55c3e685b1c3a64bfb96b # The hash is a one-way fingerprint of the frozen cohort. At readout, anyone # can confirm the prediction set was fixed in advance — no backdating possible.
We publish hits and misses. A refuted prediction is a valid, reported result. Independent timestamped pre-registration records are posted publicly (Zenodo); the outcome readout will be published on the evaluation date regardless of what it shows.