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Detector tell · 2 patterns · weight 1

The clause that explains why the previous clause was good

Two rows at weight 1 — the lowest in the table — matching a purpose clause bolted onto a statement.

Our detector calls this category “AI structure”. The patterns below are read out of functions/api/tools/detect.js when this page is built. A match is a fact about a phrase, not about who wrote the text.

Where this phrase showed up

Did not appear in the licensed samples we checked — no human sample and no AI sample. The rule still matches text that contains its own pattern. The constructed example below is that check.

We are not going to invent an example to fill the gap. What we can show instead is a sentence we wrote ourselves, purely to check that the rule is live.

A constructed example — written by us, not evidence

This sentence was written for this check. It is not from the licensed samples, nobody wrote it as real prose, and it says nothing about how anyone writes. Its only job is to prove the rule still fires, and the generator fails the build if it stops.

“A second latch this ensures the door stays shut, ensuring that nobody wanders in.”

  • /\bthis ensures\b/gi → “this ensures”
  • /\bensuring that\b/gi → “ensuring that”

What it means when a person writes this way

This is how technical documentation is written. A spec says what the system does, then says what that guarantees, and "ensuring that" is the joint between the two. Our corpus contains four technical-documentation samples, and none of them triggered it — but the register is the one this label describes, and a longer document from it would.

The patterns, as the engine holds them

2 of the 70 rows in our phrase table carry this label. They are printed here as they are written, because a paraphrase of a regular expression is a different regular expression.

/\bthis ensures\b/gi weight 1

Matches “this ensures” , in any capitalisation .

/\bensuring that\b/gi weight 1

Matches “ensuring that” , in any capitalisation .

What a hit does to your score

The phrase model is one of four in our ensemble, and its formula is patternScore = min(98, max(5, 10 + 7 x total weight)). One occurrence of the heaviest row in this category takes that model from 10 to 17 out of 100 — and the pattern model carries 40% of the ensemble when the em-dash signal fires and 55% when it does not.

Weight 1 means an occurrence adds 7 points to the pattern model out of 100, and the ensemble weights that model at 40-55%. On its own it is close to noise, which is what weight 1 is for.

Check your own text

Our detector is free and shows you which sentences it flagged and why, including this category. Treat the score as a starting point, not proof.

Run the detector If you have been accused Why formal writing gets flagged

Other things the detector looks for