Which of the following is true according to Alex Burnap and co-authors in their paper titled, When crowdsourcing fails? Group of answer choices (A) A Bayesian network model for crowd consensus aims to identify experts such that their contributions may be given more weight. (B) Finding experts within the crowd is a solved problem. (C) Workers in crowd sourcing systems are likely to give random evaluations. (D) It is challenging to distinguish the cluster of experts from the cluster of those workers that are consistently wrong. (E) Crowd sourced evaluation can fail due to expertise distribution of the crowd