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The term is analogous to "ethnobotany", which is the study of how cultures classify plants, and which sets aside the issue of whether these classifications are correct according to our modern botany.
Machine-based entity extraction works well as long as the classifications are correct.
Whether these classifications are correct or not, Hempel was one of the chosen who worked with legendary editor Gordon Lish at Alfred A. Knopf, where he was employed from 1977 to 1995.
Both of the above classifications are correct chemically, but they can lead to incorrect inferences when extrapolated to the process hierarchy in the GO.
The growing body of multilocus sequence type (MLST) data for E. coli reported from different hosts and habitats demonstrated that 80to85%5% of the phylogroup classifications are correct.
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Commercial kit classifications were correct for nine out of ten samples.
By comparison, the majority of both All-data and Pre-diagnosis depression classifications were correct.
Detergent extraction classifications were correct for six out of 15 samples, but improved to ten out of 15 when based on logistic regression.
The classifications of the selected cases tested by cross-validation showed that 68.3% of these classifications were correct.
The classifications of the selected cases were also tested by cross-validation, where each case was classified by the functions derived from all cases other than that case, which showed that 71.6% of these classifications were correct.
Over 50% of patients in the survey cohort were classified as having intermittent asthma and thus, assuming the classifications were correct, may not have asthma of sufficient severity to warrant controller therapy.
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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