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gentic.news — AI News Intelligence Platform
Connecting to the Living Graph…
Quality dashboard

How clean is the data?

Trust through provenance. Every metric here is computed live from the production database.

Edges with ≥3 source citations
6.2%
5,093 total edges
Entities enriched
94.6%
Wikipedia · Crunchbase · arXiv
Average finding confidence
75.1%
2,850 findings
Hypothesis confirmation rate
0.0%
124 resolved hypotheses
Prediction accuracy
0.0%
174 resolved predictions
Mention coverage
82.2%
13,543 mentions tracked

📐 What these mean

Edges with ≥3 sources
A relationship between two entities (e.g., Anthropic ── partnered ── Amazon) is only considered firmly verified when at least 3 independent sources mention it.
Entities enriched
Percentage of entities that have been augmented with external metadata (Wikipedia summary, Crunchbase profile, arXiv author profile). Higher = richer entity pages.
Average finding confidence
The mean confidence (calibrated 0-100%) across every finding the lab has written. Calibrated = checked against later evidence.
Hypothesis confirmation rate
Of the hypotheses the lab raised that have since been resolved, how many were confirmed correct vs disconfirmed. The lab updates its weighting based on this.
Prediction accuracy
Falsifiable predictions that resolved as the lab forecast. This is the calibration baseline for all confidence scores.

Why we publish this.

The Living Graph is autonomous — but autonomy without measurement is hand-waving. Every cycle the brain runs writes its score. Every prediction it makes is either confirmed or disconfirmed. That feedback loop is how confidence gets calibrated. Read the method →