  We present a uniform transiting exoplanet candidate list for Campaign 5 of
the K2 mission. This catalog contains 75 planets with 7 multi-planet systems (5
double, 1 triple, and 1 quadruple planet system). Within the range of our
search, we find 8 previously undetected candidates with the remaining 66
candidates overlapping 51% of the Kruse et al. study that manually vet Campaign
5 candidates. In order to vet our potential transit signals, we introduce the
Exoplanet Detection Identification Vetter (EDI-Vetter), which is a fully
automated program able to determine if a transit signal should be labeled as a
false positive or a planet candidate. This automation allows us to create a
statistically uniform catalog, ideal for planet occurrence rate measurements.
When tested, the vetting software is able to ensure our sample is 94.2%
reliable against systematic false positives. Additionally, we inject artificial
transits at the light-curve-level of the raw K2 data and find the maximum
completeness of our pipeline is 70% before vetting and 60% after vetting. For
convenience of future occurrence rate studies, we include measurements of
stellar noise (CDPP) and the three-transit window function for each target.
This study is part of a larger survey of the K2 data set and the methodology
which will be applied to the entirety of the K2 data set.
