Scite.ai | Full-Stack Software Engineers | Remote (US/Canada)| Full time | https://scite.ai/

We are hiring for multiple engineering roles at scite.ai to build the worlds best place to search, discover, understand, and access research.

We have unique access to the world's literature through publisher partnerships and and have developed a market leading generative AI Assistant.

We are mostly looking for full stack senior software engineering roles who have experience and interest in scaling up systems and building large scale ingestion and search - based applications. This role requires no previous AI experience or knowledge (though its a plus!) so its perfect for folks who want to break into the generative AI space from an engineering background.

Senior Full Stack Engineer (Remote, US/Canada)

https://researchsol.bamboohr.com/careers/49?source=aWQ9MzU%3...

Senior UI/UX Designer (Remote, US/Canada) https://researchsol.bamboohr.com/careers/50?source=aWQ9MzU%3...

mubarakabubakar96@gmail.com

The results in the link are literally how hacker news has been mentioned in scientific papers. Not sure how you consider that clickbait or misleading or why you consider those meaningless.

More here too: https://scite.ai/search/citations?page=1&q=%22pardon%20the%2...

Meta (a great name) was a very promising startup a few years back in scholarly publishing. It had successfully analyzed millions of articles to help with discovery of research. It's a shame it is being shuttered but there are a lot of tools out there now doing similar things and in many cases much much more:

scite.ai (I am co-founder) semantic scholar

check out our work in this area: https://scite.ai/search/citations

We have extracted 918M citation statements from 27M full text articles.

Back button is a bit broken there, if you want to back out of the login page.

This is interesting but AFAICT it is "merely" indexing.

So far as I understand it's a lot more than that. Their model has not only indexed but has also individually classified 900M+ citation statements by sentiment, the outputs of which produce a score to represent each paper's relative trustworthiness.

To your point though it's fun to think about generative applications too. I for one would appreciate a writing assistant trained on millions of scientific papers -- like OK I'll write that last-minute proposal for you but you better believe it's going to be chock-full of dispensable lexical arcana.

Yes, there is a lot more that goes into it. The details of our indexing are described in detail in a recent paper of ours: https://direct.mit.edu/qss/article/doi/10.1162/qss_a_00146/1...

We (scite.ai) have extracted 918M citation statements (3 full sentences) from 27M full-text articles (more than half are from paywalled articles from indexing agreements).

We've taken this an extra step and have classified the citation statements as providing supporting or contrasting evidence (https://direct.mit.edu/qss/article/doi/10.1162/qss_a_00146/1...)

And, recently, have made these citation statements easily searchable to find expert analyses and opinions on nearly any topic extracted from the literature: https://scite.ai/search/citations

This looks very nice! is it possible to download the dataset?

(PS: comparable initiative of citation datasets that are downloadable: S2ORC https://github.com/allenai/s2orc and Internet Archive Refcat https://blog.archive.org/2021/10/19/internet-archive-release...)

We can't release the full dataset as our licensing agreements with publishers restrict it. We do have an API though that can be used: https://api.scite.ai/docs

Nice work on Scite, I'm not sure if this is a different use case than I have, but my searches are listing duplicates of the same papers many times. Is there a reason to not collapse duplicates into a single result?

Is this on Citation Statement search? I think it is probably because the citation context contains two or more citations in it. We look at citations per sentence so it is duplicated there. I can see how that is confusing though.

We're effectively bringing shepardizing to science at scite (scite.ai). Here's a piece I published on the topic recently: https://www.sciencedirect.com/science/article/pii/S259023852...

Hi! I checked out scite and really like the product- however, I can't seem to find relevant papers in my field (ML&AI), ie., I searched for the batchnorm paper, which there has been a lot of 'reevaluation' of- but it's not available. I suppose at this point you don't have access to (some of) the big AI journals/conferences. Is this something on the horizon?

We're trying to fix this problem at scite.ai https://medium.com/scite/scite-trust-but-verify-7d13e6a144cc

We're effectively creating the rotten tomatoes for science at scite.ai. We rely upon a deep learning model to classify citation statements as supporting, contradicting, or mentioning.