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The publication years of the papers were included in the models predicting citation counts as exposure time [30, pp. 370 372].
Both models predicting citation counts took the number of pages and the number of co-authors of each paper as independent variables into account besides the decision variable (dichotomous variable: 0 = rejected, 1 = approved).
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Wang et al. (p. 127; see the Perspective by Evans) developed a mechanistic model to predict citation history.
Although the Gompertz and the Bass models predict asymmetric citation patterns, they also predict an exponential (Bass) or double-exponential (Gompertz) decay of citations (table S2) that is much faster than observed in real data.
Previous works have already attempted to predict citation success.
Other models predict no effects.
Models predict trends in climate, not particular events.
models predict that firing phase range = 360* field width)/ field spacing).
These models, predict the expected score for each response category.
We will ask if these models predict human moral judgements?
Models predict the trend will continue.
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