Confidence you can read at a glance.
Every ATLAS™ output carries a confidence cue — so you can calibrate interpretation and see where limits apply. Trust, governance, and scientific restraint, built into the product.
Why every output carries a confidence cue
Users need more than labels — they need context. A confidence cue tells you how much weight to give a reading, so interpretation stays proportionate and traceable rather than absolute.
- ✓Confidence reflects how firmly a pattern can be read
- ✓It keeps interpretation proportionate
- ✓It makes the reading experience more credible
- ✓Stronger visibility never means greater certainty
Input 1 — Evidence quality
Evidence quality
Input 2 — Method compatibility
Method compatibility
What a sequencing method can support shapes how confidently an output can be read.
| 16S rRNA amplicon | Community-level composition; limited species/strain resolution. |
|---|---|
| Shotgun metagenomics | Species-level and functional-potential context. |
| Metatranscriptomics | Expression context where RNA quality supports it — a planned layer at VAMS BIOME. |
Input 3 — Feature availability
Feature availability
Input 4 — Cohort relevance
Cohort relevance
Input 5 — Calibration readiness
Calibration readiness
Confidence states
Three plain-language levels
Confidence is communicated in plain language so you know how strongly to read each insight — without exposing internal weighting.
Communication of uncertainty
How uncertainty is shown
Claim-safety gates
The principles that guide public ATLAS language
Scientific governance means building restraint and clarity into the product itself, not just having policies.
Limitations
Where confidence framing stops
FAQ
Common questions about confidence
What does a confidence cue mean?
It tells you how much weight to give a reading, reflecting data quality, evidence strength, reference context and the limits of your sequencing method.
Does higher confidence mean it is diagnostic?
No. Confidence never turns a pattern into a diagnosis. All outputs are educational and non-diagnostic; stronger visibility never implies greater certainty.
Why is my confidence lower for some outputs?
Confidence reflects evidence quality, method compatibility, feature availability, cohort relevance and calibration readiness — any of these can lower it.
Do you publish exact confidence percentages?
No. Confidence is shown in plain-language levels. We do not publish invented performance figures; quantitative calibration is established during laboratory validation.
Does the confidence framework expose your scoring method?
No. It explains how to read confidence without exposing internal weighting, thresholds or computation, which remain proprietary.
See confidence cues in a report
The sample report shows how confidence cues sit alongside every output — with visible caveats and non-diagnostic framing.
Confidence, illustrated
One qualitative cue, drawn from several dimensions.
Every ATLAS™ output carries a confidence cue assembled from independent dimensions of support — data quality, method fit, evidence strength. The cue travels with the output so it is always read in context; it is never a grade or a promise of certainty.
Qualitative cue
- High
- Moderate
- Exploratory
Assessed across several independent dimensions, then expressed as one qualitative cue that travels with the output. It is a statement of how well the data supports what is shown — not clinical certainty.
Layers of context
An observation is read through context, not reduced to it.
Measurement, method, reference and evidence each add a layer of context to what the assay observed. The framework keeps those layers visible instead of collapsing them into a single figure.
- Measurement What the assay observed in the sample
- Method How that observation was produced
- Reference How it sits alongside other samples
- Evidence What the published literature describes