Technical Abstract: Assessment of qualitative results in analytical methods is needed to estimate selectivity and devise criteria for chemical identification, particularly for mass spectrometric analysis. Low-pressure gas chromatography - mass spectrometry (LP-GC/MS) has been demonstrated to increase the speed of analysis for GC-amenable residues in various foods and provide more advantages over the traditional GC-MS approach. We used LP-GC/MS on a time-of-flight (ToF) instrument, which provided high sample throughput with <10 min analysis time. In this study to assess qualitative performance, we analyzed 90 samples in total of strawberry, tomato, potato, orange, and lettuce extracts from the QuEChERS sample preparation approach. The extracts were randomly spiked with different pesticides at different levels, both unknown to the analyst, in the different matrices. We compared automated software evaluation with human assessments in terms of false positive and negative results. Among the 13,590 possible permutations with 696 blind additions made, the automated software approach yielded 1.2% false presumptive positives with 23% false negatives whereas the analyst achieved 0.8% false presumptive positives and 17% false negatives for the same analytical data files. The false negative rate was reduced to 5-10% if some problematic analytes were excluded. Despite its somewhat better performance in this study, the analyst approach was extremely time-consuming and would not be practical in high sample throughput applications for so many analytes in complicated matrices.