You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Cumulative distribution functions for positive and negative samples are shown in Figure 4. If we observe the positive samples, we see that the CDF looks fairly similar for different values of \gamma. For example, approximately 20% of the hardest positive samples account for roughly half of the positive loss, as \gamma increases more of the loss gets concentrated in the top 20% of examples, but the effect is minor.

Question: How do you compare background and foreground samples as γ changes?
The effect of changing γ on the distribution of the loss for positive examples is minor. For negatives, however, increasing γ heavily concentrates the loss on hard examples, focusing nearly all attention away from easy negatives.