We developed a methodology to objectively and transparently assess the impacts on terrestrial biodiversity of proposals to clear native vegetation in New South Wales (NSW), Australia.
The number of selected pathways was varied from one to ten in order to transparently assess the classifier's performance across a range of features.
One, I would argue, in which humans remain in the loop, able transparently to assess a system's incentives – and either to influence its direction or debate its alteration.
However, these reviews did not aim to assess the effectiveness of interventions and they did not transparently appraise the quality of the evidence.
Despite all the valuable efforts to transparently report and display the potential risk of bias of primary studies, it is clear that their impact on the overall findings of a systematic review is rarely assessed formally.
It is clear that despite all the valuable efforts to transparently report and display the potential risk of bias of primary studies (which in itself can be very time consuming), the impact on the overall findings of the systematic review is rarely assessed formally.
In keeping with health-related research more broadly [ 5], mapping studies should be reported fully and transparently to allow readers to assess the relative merits of the investigation [ 6].
3 Unfortunately, there is considerable evidence that key information is often poorly reported in systematic reviews, thus diminishing their potential usefulness. 3 4 5 6 As is true for all research, systematic reviews should be reported fully and transparently to allow readers to assess the strengths and weaknesses of the investigation.
"The Finance Department works each year to assess more than one million properties, transparently and accurately," said Owen A. Stone, a department spokesman.
The development and validation process should then be reported transparently in order to allow potential users to assess whether or not the scale is adequate for their purposes.
These examples include criteria for locating, arraying transparently, and selecting relevant studies of primary data; tools for assessing the persistence of systematic biases in these studies; and techniques for evaluating the quality and strength of the evidence selected for inclusion.
