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The phrase "a true match" is correct and usable in written English.
It can be used when referring to a situation, object, or person that perfectly corresponds or aligns with another.
Example: "After reviewing all the candidates, we found that Sarah was a true match for the position due to her extensive experience and skills."
Alternatives: "a perfect fit" or "an ideal match".
Exact(35)
Exeter City, whose side were assembled for less than three days' earnings for Roy Keane, and who almost went to the wall four years ago, who were trounced 4-0 at Hull a week ago, were a true match for Everton.
What Matthews refers to as a "true match score" doesn't exist.
"I think you need the life experiences and perspective to help teenagers find a true match," he said.
This, they note, could lead a forensic analyst to reject a true match between two samples that came from different tissues of the same individual.
But fate brings them together again (because they are a true match!) when they bump into one another, alone, at a repertory screening of The Princess Bride.
"This Lego set will be a true match made in scientific heaven (well, actually in acrylonitrile butadiene styrene)," promised Lego's Peter Espersen in the announcement, "because the brilliant characters in this popular American TV show appreciate Lego bricks".
Similar(25)
Here m(γj) and u(γj) are the conditional probability of observing γ j given that the pair is respectively a true matched pair and a true non-matched pair.
(Cole was cleared of racially aggravated assault). Clara Amfo, a Radio 1 DJ and a L'Oréal True Match ambassador, quit the campaign in solidarity with Bergdorf, partially in protest at the hypocrisy of the situation.
For TBLASTN, alignments are divided into three categories: (1) alignments that match a query to the coding region of a known true positive match; (2) alignments that match a query to a known coding region that is not a true positive match; and (3) alignments that do not match a known coding region.
Match weights were calculated using the conditional probability that a record pair agree on a particular identifier, given the true match status of the pair e.g. P agree on sex|match) and P agree on sex|non-match).
Let M be the true match status of a pair of records (M = 1 for true match and M = 0 for true non-match).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com