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scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a scientific paper has been cited by providing the context of the citation and a classification describing whether it provides supporting or disputing evidence for the cited claim.

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Our deep learning model classifies each citation context automatically. The numbers show how sure it is of a classification.
“…Compared to the diploid parental line, the frequencies of chromosome2
You can find the exact citation context here. Clicking on the title of the citing paper takes you directly to the publication.
missegregation and micronuclei formation were significantly elevated in most PTA clones (Figure 2A) but not in the tetraploid line (Figure 2A). In agreement with previous work (Nicholson et al , 2015), the trisomic clones showed similar aberrations, albeit to a lesser extent (Supplemental Figure S2B). Furthermore, we observed an increase of structural aberrations in PTA lines and, consistent with earlier work (Kuznetsova et al 3
You can click on any citation in the excerpt to explore related articles.
2015; Passerini et al, 2016) also in trisomic clones (Figure 2B).…”
Quantitative proteomic and phosphoproteomic comparison of human colon cancer DLD-1 cells differing in ploidy and chromosome stability
Viganó, et al. 2018
Molecular Biology of the Cell Section: Results
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    Our deep learning model classifies each citation context. The numbers show how sure it is of a classification.

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scite uses deep learning to classify citation statements in three categories: those that provide disputing or supporting evidence, and others, which mention the cited study without providing evidence for its validity.

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