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According to Nilashi et al. [28] and Adomavicius and Kwon [2], collaborative filtering with multi-criteria item ratings has been unexplored when compared with its single criterion item rating counterpart.
As shown in Table 1, two items did not meet the criterion: item 9 ('Things happen for a reason') and 20 ('Have to act on a hunch').
For each patient, each criterion item was judged as "applicable", "insufficient data" (lack of information), "not applicable" (criterion relevant for patient but the patient's data did not meet the qualifying statement) or "justified non-adherence" (explanation for the patient's treatment not meeting a quality criterion).
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Of the assessment criteria for metabolic syndrome, the waist circumference was significantly associated with each seasonal change item and all criterion items were significantly associated with the seasonal change in weight.
Two items did narrowly miss the criterion (item-scale correlations ≥ 0.40) in TREAT RLS 1.
Using this criterion, items 5, 7, 9, 17, 19 and 28 did not meet this requirement (Table 2).
The majority of the non-educationally useful videos failed to fulfill one of the major criterion items (45 videos).
Three items showed slightly weak rit in more than one category or one coefficient far below the preset criterion (items 2, 33, 49).
Using this criterion, items with a CVI < 0.80 were removed from the questionnaire as these were perceived by the experienced GPES to be of less relevance to being a safe GP [ 23].
An absolute decision rule was used for the simultaneous lineup: The strongest above-criterion item was selected.
Relative rule: The strongest above-criterion item is selected if it exceeds the next best item by a minimum amount (here, 0.15 d′ units); otherwise, the lineup is rejected.
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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