{"reviews":[{"answer_id":"a001","verdict":"correct","rationale":"The weight changes with predicted probability during training, with less attention given to confidently classified examples.","source_span_ids":["s00005","s00031","s00032"],"issues":[]},{"answer_id":"a002","verdict":"correct","rationale":"The source describes dynamically changing example weights and deemphasizing confident examples.","source_span_ids":["s00005","s00032"],"issues":[]},{"answer_id":"a003","verdict":"correct","rationale":"The source describes a weight proportional to 1-p that changes as training proceeds.","source_span_ids":["s00005","s00031","s00032"],"issues":[]},{"answer_id":"a004","verdict":"correct","rationale":"The answer captures the probability-dependent adjustment and reduced attention to confident examples.","source_span_ids":["s00005","s00032"],"issues":[]},{"answer_id":"a005","verdict":"correct","rationale":"The source describes reducing attention to easy, confidently classified examples as weights change during training.","source_span_ids":["s00005","s00032"],"issues":[]},{"answer_id":"a006","verdict":"correct","rationale":"The answer states both the 1-p adjustment and its intended effect on confident examples.","source_span_ids":["s00005","s00031","s00032"],"issues":[]},{"answer_id":"a007","verdict":"correct","rationale":"The source describes dynamically reducing attention to easy examples as model confidence changes.","source_span_ids":["s00005","s00032"],"issues":[]},{"answer_id":"a008","verdict":"correct","rationale":"The answer correctly describes probability-dependent weights that reduce attention to confident examples.","source_span_ids":["s00005","s00032"],"issues":[]},{"answer_id":"a009","verdict":"correct","rationale":"The answer correctly identifies the dynamic 1-p weighting and its purpose.","source_span_ids":["s00005","s00031","s00032"],"issues":[]}]}