holub008
Joined 7 years ago
Joined 7 years ago
Nested Knowledge is building the future of Systematic Literature Review (SLR) by consolidating every step of the review process (search, screening, extraction, synthesis) in an updatable, collaborative environment. NK primarily solves biomedical SLR, and our users come from a variety of backgrounds, including academia, insurers, med device / pharma, and regulatory. To date, 2 million studies have been reviewed in our software.
We want you to build models taking our Robot Screener and Smart Tagging products to the next level and design automations in new areas, like critical appraisal. Our team is small, and you would be our first AI specialist, setting standards and frameworks in place. We value independence, creativity, and a focus on end-user value and experience over technology.
https://wellfound.com/jobs/2866132-machine-learning-engineer
It might also damage the sense of identity they provide, if the generated images wander too far from reality of the source images.
"Our results suggest that some sexually transmitted parasites, such as T. gondii, may be correlated with appearance and behavior of the human host."
I appreciate your viewpoint. I would counter it by saying that there are two sources of uncertainty here: choice of model & sampling variance. It's my opinion that in scientific writing, one should be precise with which source of uncertainty they are guarding. If I'm allowed to group these together, why can't I make a similar statement of causation of any old spurious correlation - when obviously my model is bad?
Considering this example again - isn't it arbitrary that the authors get to choose which hypothesis (among many, like attractive people being predisposed to own cats) they get to claim "may" be demonstrated?
Similar line of discussion: https://statmodeling.stat.columbia.edu/2015/04/04/thinking-p...
https://academic.oup.com/aje/article/190/3/386/5905708 https://pubmed.ncbi.nlm.nih.gov/24986706/
https://github.com/holub008