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This evaluation provides interesting insight in the TIMER model, the uncertainties associated with the modelling process and the model results.
One example is the TIMER model (Targets Image Energy Regional) developed by the Dutch National Institute for Public Health and the Environment.
In contrast, this distribution cannot be generated by a timer model where the division rate depends solely on age.
Even though the timer model can maintain cell size homeostasis, it is quantitatively incompatible with the observed size distribution.
Unlike the timer model, this sizer model is robust to slight modifications of the growth law of individual cells.
This ultra-sensitivity to hypotheses regarding rare cells makes the timer model unrealistic generally for any exponentially growing organisms.
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Today, the revised version of the laws, called the "hourglass model" [ 6] or the "egg-timer model" [ 7], is widely accepted [ 4, 8], and the bottleneck stage, representing maximum resemblance among various vertebrates, is commonly referred to as the "phylotypic stage" [ 9].
TIMER is a simulation model that does not optimize scenario results over a complete modeling period on the basis of perfect foresight but simulates, instead, the year-to-year investment decisions based on a combination of bottom-up engineering information and specific rules about investment behavior, fuel substitution, and technology.
We measure the goodness-of-fit of a model (timer or sizer) by estimating the distance between two distributions: the age-size distribution obtained through simulations of the model with the estimated division rate (as explained above), and the experimental age-size distribution.
That means no freemium model, timers, pay-gates, or virtual gems being sold to rocket-charge your fleet's progress.
Replace your timer with the same model and brand as you already have on your system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com