Accuracy · GCSE Physics

GCSE Physics Higher: a full-paper benchmark

A full 63-mark paper across 100 scripts. After low-confidence review, 95% of marks were within one mark of the examiner and every script was within two marks.

  • Friday, Aug 21, 2026

  • 3 min read

GCSE Physics Higher · 63-mark paper · benchmarked against moderated examiner marking on 100 exam scripts.

Key results:

  • Mean absolute error of 0.5 marks after low-confidence review (1.1 marks before review).
  • 19.1% of questions flagged as low confidence for teacher review.
  • Every script within two marks of the examiner’s total after review.

The paper we tested

This benchmark covers a whole GCSE Physics Higher paper worth 63 marks, rather than a single question. We used 100 exam scripts, each marked to an agreed standard by former exam board examiners and experienced subject leads. Where those markers disagreed, the question was moderated and an agreed position established. Those moderated marks are the definitive benchmark.

The configuration

Exam paperGCSE Physics Higher
Paper total marks63 marks
Exam scripts100
Primary modelrp-gemini-rag
Validating modelrp-gpt-rag

Both models in this configuration are Running Paper retrieval-augmented models, built on different underlying frontier models from different providers. Every question is marked independently by both. Where they disagree beyond the tolerance set for that question, the question is flagged as low confidence for the teacher to review. You can read more about the process in how we measure accuracy.

Simulation results comparing the examiner total against the primary AI mark and the mark after low-confidence review, student by student

Results

MeasureResult
Questions flagged as low confidence19.1%
Mean absolute error (MAE), primary model, before review1.1 marks
Mean absolute error (MAE), after low-confidence review0.5 marks
Marks within one-mark tolerance, after review95%
Scripts within two-mark tolerance, after review100%

Reading these figures

The flag rate of 19.1% means roughly one question in five was flagged as low confidence.

The reduction in mean absolute error from 1.1 to 0.5 marks is the low-confidence mechanism working as designed. The MAE of 1.1 marks is the primary model marking alone. The MAE of 0.5 marks is after the low-confidence questions have been corrected.

It is worth stating plainly: the accuracy that matters is not the model’s accuracy. It is the accuracy of the model, the validator and the teacher working together. The residual 0.5 marks is not zero and we do not present it as such. It represents errors that survived both the validation comparison and teacher review.

The post-review MAE (0.5), the 95%, and the 100% figures above are drawn from a simulation that assumes every flagged question is corrected to the definitive mark. They show the accuracy the system is designed to achieve once low-confidence questions are addressed.

If you would like to know how the system performs on your subject, get in touch via the contact form or book a demo below.

Accuracy

More accuracy case studies

Friday, Oct 23, 2026

3 min read

GCSE English Literature

AQA GCSE English Literature Paper 1: Macbeth

A 34-mark Shakespeare essay. The mean absolute error after review was 2.3 marks, and every response was within six marks of the examiner.

Read More

Tuesday, Oct 06, 2026

3 min read

GCSE Maths

GCSE Maths: a 40-mark half-paper benchmark

A 40-mark GCSE Maths half paper across 20 scripts. 60% of scripts matched the examiner's total exactly, and every script was within one mark.

Read More

Tuesday, Sep 29, 2026

4 min read

KS3 Biology

Accuracy in AI marking: a dual-model evaluation on a Year 9 Biology assessment

A 50-mark Year 9 Biology paper across 50 scripts. Running Paper marked to within 0.24 marks of the examiner on average after review.

Read More
cta-image

Want to see how it actually works?

Have a chat with our team and see Running Paper in action