Sentence examples for which is highly likely from inspiring English sources
The phrase "which is highly likely" is correct and usable in written English.
It can be used to indicate a strong probability or likelihood of a situation or outcome occurring. Example: "The weather forecast predicts rain tomorrow, which is highly likely given the current atmospheric conditions."
All of which is highly likely to make it more a matter of survival than of speed for some racers.
But this has not placated Exelon, which is highly likely to be a builder of new plants if any are ever ordered in this country.
"If they came from Israel, which is highly likely," Dr. De Hertogh said, "they could be Constantinople, a double with a ruffled white perianth and fringy yellow petals in the middle".
"If he spent his allowances on the house in any way – which is highly likely – he is guilty of exactly the same practice (selling a house for profit at the taxpayers' expense) which he criticises MPs for".
That is because this is a Conservative seat which is highly likely to be snatched by Labour, whereas the simultaneous ballots in Manchester Central and Cardiff South & Penarth are in safe Labour seats that are universally assumed to remain deepest red.
Victor JVC hasn't said yet if the Picsio will ever be available outside Japan (which is highly likely).
So Finkel had to hope that the defender with the heart ace also had at least four spades, which was highly likely, given East's takeout double.
This new money will be invested in the stocks the managers concerned favour, which are highly likely to be those that have recently performed well (that is why the managers are stars).
In all, he said, the files contained about 58,000 highly classified documents, which were "highly likely to describe techniques which have been crucial in lifesaving counterterrorist operations, and other intelligence activities vital to U.K. national security".
A key motivation for developing landmark point techniques is that they lay the foundation for developing 3D models and associated dynamic feature extraction and recognition techniques which are highly likely superior to 2D-based and static 3D-based techniques.
In contrast, the pharmacophore filtering method presented here requires no additional new or proprietary software unlike these other methods for post-processing docking results – only a docking program and a pharmacophore generation program, both of which are highly likely to be in use by any modeling group.
