{"reviews":[{"answer_id":"a001","verdict":"correct","rationale":"Correctly explains that masking enables prediction using both sides of the context, improving summary fluency.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a002","verdict":"correct","rationale":"Correctly links bidirectional context in masked-word prediction to more fluent and natural output.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a003","verdict":"correct","rationale":"Correctly identifies preceding and following context as the benefit of masked-word prediction and connects it to naturalness.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a004","verdict":"correct","rationale":"Correctly explains that BERT uses both sides of each masked word to improve summary fluency.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a005","verdict":"correct","rationale":"Correctly explains both the availability of bidirectional context and alignment with BERT's pretraining, which improve fluency.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a006","verdict":"correct","rationale":"Correctly connects access to preceding and following context with more fluent and natural summaries.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a007","verdict":"correct","rationale":"Correctly identifies context on both sides of each word as helping the decoder produce fluent and natural summaries.","source_span_ids":["s00049","s00052","s00053"],"issues":[]},{"answer_id":"a008","verdict":"correct","rationale":"Correctly explains the contextual benefit of masking and its effect on summary fluency and naturalness.","source_span_ids":["s00049","s00052","s00053"],"issues":[]}]}