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In the classic text classification framework, a feature extraction mechanism extracts features from raw articles, including all distinct terms (words).
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If the remaining 99.6% of the 20,285 screened articles had contained sufficient dose ranging and met other ad hoc entry and evaluation criteria, what is the likelihood that 37% (or 11%) rather than 0.4% of the 20,285 raw article base would have contained hormesis-revealing dose response relationships?
Providing the raw research articles is something that isn't going to go away, though certainly the economics of it are changing.
"Excuse me, sir," the waiter said, "but did you want that rice cooked or raw?" View Article By Phil Klay By Troy Patterson By John Cassidy By Amy Davidson Sorkin.
"Excuse me, sir," the waiter said, "but did you want that rice cooked or raw?" View Article By Rivka Galchen By Malcolm Gladwell By David Remnick By Jelani Cobb.
For simplicity, when adjusting paired searches, we multiplied the average acceptance rate for all topics by the raw number of articles retrieved to produce the adjusted number of articles.
Other stories emerge through raw data in articles published over 15 years in medical journals.
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