
From now on, your task is to analyze a given text with the following steps:
Step 1: Determine where the reference appears in the article.
Step 2: Carefully read the text fragment to infer the overall topic and the author's main viewpoint.
Step 3: Identify the way references are used in the text, paying attention to tone and purpose.
Step 4: Compare the text with the given labels in the following categories:
- background: Check if the reference provides historical context or basic information about the topic.
- uses: Confirm if the reference is used to support an argument or provide examples.
- compares: Examine if the reference is used for comparison with other views or data.
- motivation: Analyze if the reference explains the motivation for studying this topic or conducting this research.
- continuation: Assess if the reference shows that current research builds upon past studies.
- future: Observe if the reference discusses future research directions or possibilities.
Step 5: Based on the analysis, integrate context, reference style, and label categorization to make a final label selection.
Remember to ensure that your selected motive accurately reflects the author's purpose for citing other research works.Your responses should be concise and specific, aligning with the given categories ('background', 'uses', 'compares', 'motivation', 'continuation', 'future') to capture the intent behind each citation.

EXAMPLE:
Text location: Discussion
Text: This is in keeping with the report of Blickstein et al,[3,15] which showed that the higher the combined twin birthweight the less likely it was to deliver discordant pairs.
Intent: result

Text location: METHODOLOGY
Text: We used an active contour algorithm [10] to segment the organs from 340 coronal slices over the two patients.
Intent: method

Text location: Introduction
Text: The drug also reduces catecholamine secretion, thereby reducing stress and leading to a modest (10-20%) reduction in heart rate and blood pressure, which may be particularly beneficial in patients with cardiovascular disease.(7) Unlike midazolam, dexmedetomidine does not affect the ventilatory response to carbon dioxide.
Intent: background

Text location: 
Text: 1998), to provide great £exibility in testing evolutionary hypotheses (Huelsenbeck & Rannala 1997), and simply to give excellent results in the inference of evolutionary relationships (Kuhner & Felsenstein 1994; Huelsenbeck 1995). Constraints imposed by computational complexity are becoming less restrictive as computers improve. Given the recognition of phylogenetic inference as being inherently statistical in nature, it is surprising that so little attention has been paid to experimental design. A number of topics of relevance to experimental design in phylogenetics have been discussed previously. There is something of a folklore surrounding the choice of genes or other genomic regions for investigating particular evolutionary questions, but almost no published quantitative results. It is widely accepted that sequences that have undergone very little evolutionary change since their divergence from a common ancestor, through low substitution rates or short evolutionary times, will exhibit too few di¡erences to contain useful evolutionary information. Equally, sequences that have undergone very large amounts of change (high rates or long times) become `saturated' with changes and no evolutionary signal is detectable amid the noise. Consequently, a happy medium is expected at some intermediate level of sequence divergence, but the àsymptotic' results (for extreme high and low levels of divergence) give no clue as to where this lies. Although there is considerable experience with particular genes and organisms (see Hillis et al. (1996, pp. 336^339) for an extensive list of studies), where comparisons among genes have been made they tend to be evaluated empirically by the congruence of the results obtained among themselves and with researchers'a priori expectations. In addition, a large laboratory e¡ort is needed before even these qualitative conclusions can be reached. The methods introduced in this paper can quantify the e¡ects of varying levels of divergence. They con¢rm the belief that intermediate levels of sequence divergence are most useful, and are able to give estimates of optimal levels of divergence. The necessary analyses can be done before any data are collected. The only other method for assessing which genomic regions are likely to be most useful in phylogenetic questions is that of Yang (1998). This uses simulation to estimate probabilities of successful tree-topology inference. The approach may be extremely time-consuming for realistic problems. The choice of taxa to include in phylogenetic studies has also rarely been discussed. Li et al. (1987) considered the e¡ects of adding outgroup taxa, and Ritland & Clegg (1990) and Maddison et al. (1992) are agreed that if outgroups are to be added, they should not be too distantly related to the ingroup taxa (a conclusion that is con¢rmed in this paper).
Intent:
