<count>2</count>
<relevance>48160</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(5);
-computer: field=title vecf[1] += mult(6) / length(5);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+computer: field=title vecf[1] += mult[1](6) / length(5);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+computer: field=title vecf[1] += mult[1](6) / length(5);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](2.400000) * idf[1](0.200671) (48160);
score = relevance(48160);
<count>1</count>
<relevance>40134</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(3);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+computer: field=title vecf[1] += mult[1](6) / length(3);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](2.000000) * idf[1](0.200671) (40134);
score = relevance(40134);
<count>1</count>
<relevance>40134</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(3);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(1)));
+computer: field=title vecf[1] += mult[1](6) / length(3);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](2.000000) * idf[1](0.200671) (40134);
score = relevance(40134);
<count>1</count>
<relevance>17200</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(7);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(5)));
+computer: field=title vecf[1] += mult[1](6) / length(7);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](0.857143) * idf[1](0.200671) (17200);
score = relevance(17200);
<count>1</count>
<relevance>17200</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(7);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+computer: field=title vecf[1] += mult[1](6) / length(7);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](0.857143) * idf[1](0.200671) (17200);
score = relevance(17200);
<count>1</count>
<relevance>16722</relevance>
<relevance_info>
-computer: field=title-remainder vecf[1] += mult(5) / length(6);
+computer: mult[1] += local_mult(5) / (1+log2(1+lead_decay(0.000000) * length(4)));
+computer: field=title-remainder vecf[1] += mult[1](5) / length(6);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](0.833333) * idf[1](0.200671) (16722);
score = relevance(16722);
<count>1</count>
<relevance>12040</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(10);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+computer: field=title vecf[1] += mult[1](6) / length(10);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](0.600000) * idf[1](0.200671) (12040);
score = relevance(12040);
<count>1</count>
<relevance>12040</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(10);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(8)));
+computer: field=title vecf[1] += mult[1](6) / length(10);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](0.600000) * idf[1](0.200671) (12040);
score = relevance(12040);