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  <front>
    <journal-meta />
    <article-meta>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>cu K K</string-name>
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          <string-name>R R R R R</string-name>
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          <string-name>R R R R</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>R R R R R R R R R R R R R R R R R R</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>8 0 6 4 6 2 0 0 8 6 2 8 8 8 2 2 2 8 6 8 8 0 8 8 0 0 6 6 4 2 0 0 6 2 4 4 2 1 4 7 1 8 2 4 9 9 8 6 6 7 7 1 8 7 2 0 4 2 8 4 2 91 3 2 91 2 4 3 7 4 g 3 2 n a n r n n p r r n n n n e n n n n n r n n n r n n n n n n n n z p p n n 0 S L E F E E S F F E E E E D E E E E E F E E E F E E E E E E E E C S S E E 4 7 1 6 6 0 5 7 3 2 9 2 8 9 4 0 1 7 8 1 2 2 0 4 2 0 7 3 4 5 0 7 5 5 6 3 5 2 3 2 9 1 9 9 0 8 9 5 9 30 3 3 3 2 9 32 8 6 7 1 0 9 7 7 7 0 1 3 7 3 3 0 7 7 3 0 0 3 7 3 7 7 7 0 7 3 0 3 7 7 0 3 3 7 3 3 0 0 3 3 3 3 9 0 3 9 6 2 0 3 0 0 7 0 1 6 8 14 6 0 7 2 3 8 2 4 9 1 2 9 5 0 4 7 7 1 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 8 0 2 4 2 0 0 4 0 8 2 4 8 0 8 4 6 2 6 6 2 4 4 8 4 6 4 8 0 0 0 8 6 w a t t iS um um uo up uo uo cud tou cud iup um ou um auw uw um cd cd uw nu nu uw au u pu au au au nu cd u u u u u 3A )c A 4A = 0 M 2 ( a 0 K 1 l d 4 a 0 t e 0 2 = SR d 2 au 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 4 4 6 8 6 6 0 2 0 6 2 6 0 2 0 8 0 6 6 4 2 2 0 0 0 0 6 2 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 4 8 4 6 4 2 8 8 8 6 0 0 4 4 8 6 6 4 6 2 4 6 4 4 0 4 2 8 0 2 2 6 6 4 7 0 8 7 3 4 9 4 7 2 8 8 5 0 1 0 8 2 7 2 2 4 2 7 4 9 7 9 8 7 8 2 5 1 8 5 9 2 4 6 0 0 1 39 1 8 1 2 9 79 3 2 9 9 0 4 4 2 1 5 0 7 6 12 2 8 1 4 1 c 4 7 4 6 8 3 7 8 4 9 9 3 2 7 4 2 9 1 9 2 2 1 1 0 1 4 6 6 9 6 1 0 9 2 7 e 9 7 6 0 7 2 1 8 9 7 1 9 8 0 74 1 5 7 5 2 3 2 18 3 4 7 0 4 1 9 5 5 5 3 4 r 4 8</p>
      </abstract>
    </article-meta>
  </front>
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University of Alicante (ualicante)</p>
      <p>Average precision on each topic for each official ualicante run (required run first).
Difference from median for average precision on each topic for each official ualicante run.
Difference from medianforaverage precision(UATDASR04LF)
Difference frommedianforaverage precision(UATDASR04)
1</p>
      <p>1
Dublin City University (dcu)</p>
      <p>Average precision on each topic for each official dcu run (required run first).</p>
      <p>Difference from median for average precision on each topic for each official dcu run.
Difference frommedianforaverage precision(dcua2desc40feng)</p>
      <p>Difference frommedianforaverage precision(dcua1a2tit40feng)
University of Maryland (umaryland)</p>
      <p>Average precision on each topic for each official umaryland run (required run first).
Difference from median for average precision on each topic for each official umaryland run.</p>
      <p>Average precision on each topic for each official uned run (required run first).
Difference from median for average precision on each topic for each official uned run.
Difference from medianforaverage precision(unedMpos)
Difference from medianforaverage precision(unedMmorpho)
University of Pittsburgh (upittsburgh)</p>
      <p>Average precision on each topic for each official upittsburgh run (required run first).
Difference from median for average precision on each topic for each official upittsburgh run.</p>
      <p>Difference frommedianforaverage precision(titdes-text04a)
Difference from medianforaverage precision(som-allelb)
University of Ottawa (uottawa)</p>
      <p>Average precision on each topic for each official uottawa run (required run first).
Difference from median for average precision on each topic for each official uottawa run.</p>
      <p>Difference frommedianforaverage precision(uoEnTD)
Difference frommedianforaverage precision(uoEnTDN)
University of Waterloo (uwaterloo)</p>
      <p>Average precision on each topic for each official uwaterloo run (required run first).
Difference from median for average precision on each topic for each official uwaterloo run.</p>
      <p>Difference frommedianforaverage precision(uw5XETDfs)
-1 29 43 50 71 77 97 79 06 12 55 85 98 13 24 32 53 64 65 58 61 64 67 84 00 04
18 18 18 18 18 18 19 20 20 20 21 21 22 22 22 22 22 22 32 32 32 32 32 42 42</p>
      <p>Topic
Difference frommedianforaverage precision(uw5XETDNfs)
-1 29 43 50 71 77 97 79 06 12 55 85 98 13 24 32 53 64 65 58 61 64 67 84 00 04
18 18 18 18 18 18 19 20 20 20 21 21 22 22 22 22 22 22 32 32 32 32 32 42 42</p>
      <p>Topic
uw5XETDNfs
0.1075
0.0774
0.0425
0.1358
0.3974
0.0652
0.0733
0.0660
0.0950
0.1670
0.2154
0.3806
0.0610
0.0165
0.0686
0.0780
0.0524
0.1143
0.1136
0.0413
0.0574
0.1179
0.1227
0.0009
0.1778
0.1138
uw5XETfs
0.0833
0.0361
0.0341
0.1272
0.2592
0.0586
0.0642
0.0571
0.0752
0.1548
0.2262
0.3590
0.0334
0.0271
0.0615
0.0192
0.0752
0.0609
0.0741
0.0270
0.0371
0.1193
0.1254
0.0009
0.2545
0.0980</p>
    </sec>
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  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <article-title>Difference from medianforaverage precision(uw5XCTph) Difference frommedianforaverage precision(uw5XETfs)</article-title>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>