JWST/NIRCam imaging has enabled efficient selection of a large number of galaxy candidates at very high redshifts. Accurate and robust selection is crucial for statistical analyses, such as measurement of the ultraviolet luminosity function (UV LF). A variety of selection methods and criteria have been proposed in the literature. We evaluate the selection methodology of galaxy candidates at using 183 candidates with secure spectroscopic redshifts obtained from the CAPERS JWST/NIRSpec PRISM program. The success of high- confirmation is strongly correlated with the photometric signal-to-noise ratio (SNR) in the detection filter, the strength of the Lyman- break, and the between the best-fitting low-redshift and high-redshift spectral energy distribution model. However, the most efficient selection method is the use of a UV LF prior on the inferred of a source, raising the success rate from to while achieving greater completeness than conservative SNR and cuts. Out of the 183 candidates we spectroscopically confirm 48 sources at via detections of emission lines and/or the Lyman- break (particularly important for those with no emission line detection). We report the highest-redshift source in CAPERS as UDS-111893 at , with no sources confirmed at . This work provides spectroscopic quantification of JWST/NIRCam photometric selection at , and demonstrates the effectiveness of a UV LF prior for high-redshift photometric selection.

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