AI Detection

AI Score Explained: What Does a Score of 75 Actually Mean?

6 min read

You've uploaded your essay and the result comes back: a score of 75. So what now? Is that critical? Does it mean you're going to be in trouble with your university? Or is 75 not actually as alarming as it sounds?

In this article we explain exactly what the AI score at ThesisScan means, how it's calculated, and how to interpret your result correctly.

The score scale from 0 to 100

ThesisScan assigns every analysed section a score between 0 and 100. The higher the value, the more strongly the text shows signs of AI generation. The scale is divided into five categories:

ScoreCategoryWhat it means
0–25HumanThe text shows clear human writing characteristics. No action needed.
26–39Mostly humanSome patterns might suggest AI assistance, but overall unremarkable.
40–59Mixed / SuspiciousA mixture of human and AI-typical patterns. Certain sections are worth reviewing.
60–79Mostly AIClear AI signals. These sections should be revised.
80–100AI-generatedVery strong AI signals. Urgent revision recommended.

What does a score of 75 actually mean in practice?

An overall score of 75 falls into the "Mostly AI" category. That sounds alarming at first — but here's the crucial point: a single overall score tells you very little.

What matters far more is the chapter-by-chapter breakdown. Let's look at a real-world example:

Example: Dissertation with overall score 72
1. Introduction
18
2. Theory
24
3. Methodology
31
4. Analysis
88
5. Conclusion
22

In this case, a single chapter has pulled the overall score upwards. Introduction, theory, methodology and conclusion are all completely unremarkable. That's a very different situation from one where every chapter scores 70 or above uniformly.

A high overall score doesn't necessarily mean the entire paper is AI-generated. Often a single chapter drags the average up sharply. The chapter-by-chapter analysis shows you exactly where you actually need to look.

Why can human-written text also score high?

That's a fair question. AI detectors work with statistical patterns, not absolute certainty. Some writing styles are naturally "AI-like" by character:

Very formal academic writing style

Writers who have trained themselves to write with extreme precision and structure sometimes produce text that detectors flag as suspicious. This happens particularly often in fields like law or economics.

Heavily revised text

If you've edited and smoothed your text multiple times, it loses linguistic variation. That very uniformity is one of the primary characteristics detectors look for.

Theory chapters with many definitions

Pure literature reviews, where you summarise multiple sources, are structurally similar to AI-generated text. ThesisScan accounts for this by applying an adjusted baseline for different section types.

No AI detector is infallible. ThesisScan is calibrated conservatively — in cases of doubt it prefers to stay silent rather than raise a false alarm. The report is a well-grounded assessment, not a verdict.

When should you act?

Score below 40: No action needed. Your text is considered predominantly human-written.

Score 40 to 59: Take a look at the flagged chapters. The suggested rewrites in the report will help you rephrase those passages in your own words.

Score 60 to 79: Concrete revision recommended. Use the highlighted passages as your starting point and rewrite them in your own voice.

Score above 80: These sections need thorough reworking. Rewrite them from scratch where possible, using your own examples and arguments.

What ThesisScan does differently from other tools

Most AI detectors give you a single number for the whole document. That's roughly as helpful as a doctor saying "you're 60% sick" without telling you where.

ThesisScan analyses each section individually and tells you precisely which passages are flagged and why. On top of that, you get concrete rewrite suggestions — so you don't just see the problem, you know how to fix it.

Find out your own score

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