Sentence examples for substantially false from inspiring English sources

In his old role, Mr Scarlett was responsible for the government's "dossier" on Iraq's WMD, published in September 2002, which has proved to be misleading and substantially false.

It further accuses Ghappour of "co-ordinating" and "approving" the use of the media, and alleges that between them they have spread "gross fabrications and substantially false recitations of facts and law which may harm both the government and the defence during jury selection".

He added that had been covering for Profumo, whose Commons statement was substantially false.

This came from someone whose boss has told so many lies it's getting hard to count but the New York Times counted the times he told "demonstrably and substantially false statements" anyway.

Furthermore, the logrank statistic has a substantially worse false positive rate indicating that most of its findings are false positives even at very low p-value thresholds.

Searching in the phoneme lattice, on the other hand, produces substantially more false alarms than both the word-based algorithms, yet its big advantage lies in the ability to search for the words that are missing from the ASR lexicon.

As a result, the ETA network diffusion method yields accurate predictions at the fourth, and highest resolution, level of the Enzyme Classification and also substantially reduces false positives compared to other annotation methods.

This finding indicates that a comparative approach can be used as a powerful tool to reduce substantially potential false positives gene predictions.

Furthermore, we identified two variant calling measures, Quality-by-Depth (QD) and VARiation of the Width of gaps and inserts (VARW), which substantially reduced false positive indels, including non-homopolymer associated errors without compromising sensitivity.

Our study suggested that SVM is capable of identifying Src inhibitors at comparable yield and in many cases substantially lower false-hit rate than those of typical VS tools reported in the literatures.

These suggests that SVM performance is due primarily to the SVM classification models rather than the molecular descriptors used, and SVM is capable of achieving comparable yield at substantially reduced false-hit rate as compared to both similarity-based approach and alternative machine learning method.