Before revision:  Putative label errors are identified using confident learning algorithms and then human-validated via crowdsourcing (54\% of the algorithmically-flagged candidates are indeed erroneously labeled).
After revision:  Putative label errors are identified using confident learning and then human-validated via crowdsourcing (54\% of the algorithmically-flagged candidates are indeed erroneously labeled).