From scientific claims to clearer decisions

Better research
starts with
a clearer picture.

What does the evidence support? Where does it disagree? Turn your papers into traceable findings—and a stronger rationale for what to study next.

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Source-grounded extraction. Researcher-led review. Your source materials stay private.

Meet EvidentiaA closer look at your research workspace

Start with a question

Define your claim and the evidence you need.

Listen to the studies

Extract what each paper actually reports.

See the bigger picture

Explore support, conflict and uncertainty.

Built for careful research

Is your next study needed? Start with the evidence.

Evidence you can trace

Upload PDFs relevant to your project’s Scientific Claim and its core elements: population or subject (CE1C), exposure or intervention (CE2C), and outcome (CE3C). Evidentia independently assesses each study’s relevance to the claim using the submitted source text, rather than assuming an uploaded paper is relevant. You can also paste full study text or abstracts and inspect source-grounded findings.

Review without erasing history

Replace an unreadable source while retaining earlier versions and reviews. Reversibly exclude incomplete studies instead of losing their records.

Uncertainty, explained

Read the equations, inspect charts and export results. The model treats informative studies equally; it does not measure effect size, study quality or claim truth.

Explore before you begin

One method. Many research questions.

From public health to ecology, see how different patterns of evidence shape the questions worth asking next.

Compare examples Explore the method

Example previews. Evidence predominance is not the probability that a claim is true.

Explore project examples

01 / 05

Explore how a scientific claim becomes a clearer picture of evidence and uncertainty.

A walk toward better health?

Daily brisk walking reduces resting blood pressure in adults with elevated blood pressure.

Project Scientific Claim · C

CE1_C: Population / subjectAdults with elevated blood pressure
CE2_C: Exposure / interventionDaily brisk walking
CE3_C: OutcomeResting blood pressure

Evidence balance12 example outcomes

8 Support2 Contradict2 Excluded · not counted

What the evidence suggests

Support-leaning, with uncertainty remaining

In this example, the evidence favors support, but the 95% interval still crosses 0.5. This is not a settled result or a clinical recommendation.

Uncertainty snapshotBeta(1,1) → Beta(9,3)

96.7%

48.2%–94.0%

Posterior mean 75.0%

Questions worth exploring

Possible directions, not verified research gaps. Check the literature and study quality before planning.

Does the walking pattern hold across age groups?

Uncertainty to explore: The support-leaning counts do not establish whether age changes the findings.

Possible study: Consider a randomized study with prespecified age groups and the same resting blood-pressure measure across groups.

Are changes sustained with longer follow-up?

Uncertainty to explore: The modeled support rate does not describe how long any change lasts.

Possible study: Consider repeated blood-pressure and walking-adherence measurements over a longer, prespecified follow-up period.

Example preview. One unweighted observation per informative study. Not claim-truth probability, effect size, or a quality assessment.

From saved projects

A view of research in progress.

Explore aggregate snapshots across research fields. These are saved project records, not independently verified findings.

Filter by research field

Filters these public project snapshots only. Method examples and your private workspace are unchanged.

Public showcase results are unavailable.

Project snapshots are unavailable right now. You can still explore the method examples below.

Charts describe a model of study-support rates, not research quality or proof of a claim.

Same method. Different patterns.

Put uncertainty in perspective.

Compare two project examples. See how evidence balance and precision differ—without treating a stronger pattern as better-quality research.

Example A · Research field

Making room for pollinators

Native wildflower strips increase wild pollinator abundance on agricultural land.

Scientific Claim · C

9 Support1 Contradict2 Excluded · not counted

Uncertainty snapshotBeta(1,1) → Beta(10,2)

99.4%

58.7%–97.7%

Posterior mean 83.3%

Support predominates in this model

In this example, the entire 95% interval lies above 0.5. That describes a modeled support rate—not proof of effectiveness or high-quality evidence.

A question to explore: Does this pattern transfer across landscapes, crop types, and multiple growing seasons?

Example B · Research field

Less screen time, better sleep?

Limiting evening smartphone use improves sleep quality in working adults.

Scientific Claim · C

2 Support2 Contradict1 Excluded · not counted

Uncertainty snapshotBeta(1,1) → Beta(3,3)

50.0%

14.7%–85.3%

Posterior mean 50.0%

Too little evidence to favor either direction

Equal counts in this example leave a symmetric, wide posterior. This uncertainty does not show that the intervention has no effect.

A question to explore: Would longer follow-up and objectively measured sleep produce a clearer picture?

See the bigger picture

What does the evidence reveal?
Where could your research lead?

Follow a public-health question from individual studies to a clearer view of what is supported, what is disputed, and what is still worth investigating.

Walking & blood pressure

Example preview · explore the research journey

Waiting until visible

Step 1 of 6 · Define the Scientific Claim

PREVIEW

Scientific Claim · public health

Scientific Claim · C

Waiting for input…

CE1C · Population / subject

Waiting for input…

CE2C · Exposure / intervention

Waiting for input…

CE3C · Outcome

Waiting for input…

The claim guides interpretation. It does not replace the details reported by each study.

Select any step to pause and inspect it. Reduced motion starts paused.

Make room for deeper research

Your next question deserves
a well-informed starting point.

Build a stronger rationale for research that could add something new—not just another publication. Keep your projects and saved results on the free plan; subscribe for AI-assisted assessment.

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Better research
starts with
a clearer picture.

Start with a question

Listen to the studies

See the bigger picture

Is your next study needed? Start with the evidence.

Evidence you can trace

Review without erasing history

Uncertainty, explained

One method. Many research questions.

A view of research in progress.

Put uncertainty in perspective.

Native wildflower strips increase wild pollinator abundance on agricultural land.

Support predominates in this model

Limiting evening smartphone use improves sleep quality in working adults.

Too little evidence to favor either direction

What does the evidence reveal?
Where could your research lead?

Your next question deserves
a well-informed starting point.

A monthly view of the research landscape.

Your feedback belongs here.

Better researchstarts witha clearer picture.

Start with a question

Listen to the studies

See the bigger picture

Is your next study needed? Start with the evidence.

Evidence you can trace

Review without erasing history

Uncertainty, explained

One method. Many research questions.

Put uncertainty in perspective.

Native wildflower strips increase wild pollinator abundance on agricultural land.

Support predominates in this model

Limiting evening smartphone use improves sleep quality in working adults.

Too little evidence to favor either direction

What does the evidence reveal?Where could your research lead?

Your next question deservesa well-informed starting point.

A monthly view of the research landscape.

Your feedback belongs here.

Accept cookies?

Better research
starts with
a clearer picture.

What does the evidence reveal?
Where could your research lead?

Your next question deserves
a well-informed starting point.