What exactly are the 4 evaluation criteria?

Testability, Novelty, Feasibility, and Clarity — the standard criteria for evaluating academic hypotheses. Nubint AI scores each on a 0–100 scale.

How is the Novelty score measured?

Your hypothesis is cross-referenced against 460M+ papers in real time. Similar prior work is identified and differentiated. Heavily-studied topics score low on novelty.

How do I improve a low-scoring hypothesis?

You get more than a score — you get concrete directions. For example, low testability → 'Specify the measurable variable as X'; low novelty → 'Differentiate from Y by clarifying Z'.

How is the Evaluator different from the Generator?

The Generator starts from a research question and produces 3 hypothesis candidates. The Evaluator scores a hypothesis you already have. Use them together for a fast generate → evaluate → refine loop.

How is this different from asking ChatGPT to evaluate?

ChatGPT relies on training data and gives subjective commentary — it can't do a live academic search for novelty. Nubint AI cross-references 460M+ papers in real time for objective novelty scoring.

Hypothesis Evaluator

Find out how strong your hypothesis really is

4 academic criteria at once
Live comparison against the literature
Concrete improvement guidance

Hypothesis Evaluator

Paper Design

Query

Trusted by Students and Researchers Across the World

Key Features

What makes this agent special

4 academic criteria at once

Evaluate testability, novelty, feasibility, and clarity in one pass — surface strengths and weaknesses instantly

Per-criterion scoring
Weakness auto-identification

Live comparison against the literature

Cross-references 460M+ papers to score novelty objectively — not subjectively

Similar work auto-searched
Differentiation analysis

Testable

Novel

Feasible

Clear

Promising

Concrete improvement guidance

Beyond a score, you get specific suggestions on how to make each weak point stronger

Targeted weakness fixes
Variable specification guide

Refine

Add a new perspective

How It Works

Higher electrode density improves speech-decoding accuracy in ALS patients

Enter your hypothesis

Paste in the hypothesis you want evaluated

Testability

Novelty

Feasibility

Clarity

Promising

Automatic 4-criteria scoring

Get scored on testability, novelty, feasibility, and clarity

Refine

Specific improvement points

Weak criteria come with concrete directions for how to strengthen them

Research Pipeline

Follow the full research pipeline

Step 1

Hypothesis Generator Hypothesis Evaluator

Step 2

Literature Review Research Tracer

Step 3

Survey Generator Citation Recommender

Step 4

Proofreader Peer Reviewer

FAQ

Frequently Asked Questions

Common questions about this agent