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The lack of agreement in prediction raised doubts about the reliability and robustness of the reportedly predictive genes.
The second prediction raised by our model relates to the zones of nonpatchy connectivity, which correspond to orientation pinwheels in primary visual cortex (Yousef et al. 2001).
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Further, their work on prediction raises some unsettling and somewhat more personal questions.
The inclusion of genomic analysis into cancer diagnosis, treatment and risk prediction raises many issues for the conduct of clinical research and cohort studies and personal data sharing.
As an example, a promising way to model the part of fruitfulness concerned with novel predictions within the Bayesian framework might make use of the observation touched on above that, by Bayesian lights, verifying a more surprising prediction raises one's rational confidence in a theory more than verifying a less surprising consequence of that theory.
In this study, we examined the evolution of selfing (auto-pollination) in Madagascan Bulbophylum orchids (clade C) in the light of two predictions raised by the classical SEDE hypothesis: (1) irreversible transitions from outcrossing to selfing; and (2) elevated extinction rates associated with the selfing state.
In principle, therefore, our data are largely congruent with predictions raised by the SEDE hypothesis [ 14], but some of the patterns observed suggest that selfing represents a starting-point rather than a terminus of mating-system evolution in these tropical orchids.
The overall aim of this study was to examine the polarity, frequencies, time scales, and consequences of mating type transitions during the diversification of clade C in order to test major predictions raised by the SEDE hypothesis, i.e., irreversibility of transitions to selfing and high extinction rate of selfing species.
But the ice loss of recent years puts the Arctic melt decades ahead of model predictions, raising concern that climate change is proving worse than expected.
There is no master plan, the authors insist, as it is "not one technology, government, company, region or discipline that is driving speciation".As with Mr Kurzweil's forecasts for machine super-intelligence and post-biological bodies, these predictions raise hackles in the scientific establishment.
In a regulatory context, conflicting predictions raise interpretation, validation and adequacy concerns.
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