Ai Feedback
Exact(8)
Results: For the Ashworth parameters, 38 of 40 evaluations indicated excellent (weighted κ≥.75) or good (weighted κ≥.4) intrarater reliability.
The inter observer agreement for the diagnosis of ALI was good (weighted kappa 0.61).
Inter-rater agreement for INR inappropriateness was good (weighted kappa = 0.61, 95% CI: 0.50 to 0.72).
The agreement for these readings (read-reread) was good (weighted kappa, ≥0.75).
The agreement for these readings (read-reread) was good (weighted kappa (intra-rater reliability) = 0.75 to 0.88).
The level of agreement between the two separate measurements of tea temperature was good (weighted κ=0.71) with most disagreements occurring in adjacent categories.
Similar(51)
The assessment of inter-observer agreement between readers 1 and 2 revealed mostly moderate and good results (weighted kappa = 0.51-0.75).
In terms of reliability, the scale was internally consistent (Cronbach's alpha = 0.78) and test-retest data from 70 women showed good stability (weighted Kappa 0.80).
For the intra-observer agreement, when comparing MRI grading to arthroscopic grading, slightly poorer results with fair, moderate and good values (weighted kappa = 0.32-0.65) were demonstrated.
But if the excellent goods are weighted more heavily, as recommended by the prioritarian version of perfectionism, then in practice this possibility may be unlikely.
Essentially, Naïve Bayes has discovered the good performers and weighted their contributions substantially more highly than the poor performers.
Write better and faster with AI suggestions while staying true to your unique style.
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