The gray-box modeling technique is very valuable whenever a knowledge-based model exists, but is not fully satisfactory and cannot be improved by further analysis (or can only be improved at a very large computational cost).
"For instance if you had an attribute that defined which were your most valuable customers, you would be very unlikely to share that valuable knowledge — yet if you could safely then it would be one of the most potent indicators to model upon," he suggests.
Existing biological knowledge is very valuable for GWAS, which may help improve their detection power particularly for disease susceptibility loci of moderate effect size.
In conclusion, Fedorowski et al. [1] added very valuable information to the current knowledge of orthostatic hypotension through information on cause-specific mortality.
For example, if you have some skill or knowledge that is very valuable to people, the best way to build a consultancy and sell that knowledge is by writing a book that shows what you know.
Thus, the development of robust automatic annotation techniques that generate high-quality annotations without needing expert knowledge would be very valuable for the research community.
In my mind, work experience equates to vacation and casual work, and even though these may be very valuable, they cannot develop your skills or knowledge to the same extent as a career in research.
