<count>1</count>
<relevance>11882</relevance>
<relevance_info>
-computer: field=description vecf[1] += mult(3) / length(35);
+computer: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(5)));
+computer: field=description vecf[1] += mult[1](3) / length(35);
idf[1] = log(((1 + total(3))/termoccur(1));
computer: relevance += 100000 * vecf[1](0.085714) * idf[1](1.386294) (11882);
score = relevance(11882);
<count>1</count>
<relevance>86304</relevance>
<relevance_info>
-utah: field=title vecf[1] += mult(6) / length(2);
+utah: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+utah: field=title vecf[1] += mult[1](6) / length(2);
idf[1] = log(((1 + total(3))/termoccur(3));
utah: relevance += 100000 * vecf[1](3.000000) * idf[1](0.287682) (86304);
score = relevance(86304);
<count>1</count>
<relevance>57536</relevance>
<relevance_info>
-utah: field=title vecf[1] += mult(6) / length(3);
+utah: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+utah: field=title vecf[1] += mult[1](6) / length(3);
idf[1] = log(((1 + total(3))/termoccur(3));
utah: relevance += 100000 * vecf[1](2.000000) * idf[1](0.287682) (57536);
score = relevance(57536);
<count>1</count>
<relevance>28768</relevance>
<relevance_info>
-utah: field=title vecf[1] += mult(6) / length(6);
+utah: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+utah: field=title vecf[1] += mult[1](6) / length(6);
idf[1] = log(((1 + total(3))/termoccur(3));
utah: relevance += 100000 * vecf[1](1.000000) * idf[1](0.287682) (28768);
score = relevance(28768);
<count>1</count>
<relevance>11882</relevance>
<relevance_info>
-computer: field=description vecf[1] += mult(3) / length(35);
+computer: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(5)));
+computer: field=description vecf[1] += mult[1](3) / length(35);
idf[1] = log(((1 + total(3))/termoccur(1));
computer: relevance += 100000 * vecf[1](0.085714) * idf[1](1.386294) (11882);
score = relevance(11882);
<count>1</count>
<relevance>50262</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](2.000000) * idf[1](0.251314) (50262);
score = relevance(50262);
<count>1</count>
<relevance>50262</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](2.000000) * idf[1](0.251314) (50262);
score = relevance(50262);
<count>1</count>
<relevance>21541</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](0.857143) * idf[1](0.251314) (21541);
score = relevance(21541);
<count>1</count>
<relevance>21541</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](0.857143) * idf[1](0.251314) (21541);
score = relevance(21541);
<count>1</count>
<relevance>20942</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](0.833333) * idf[1](0.251314) (20942);
score = relevance(20942);
<count>1</count>
<relevance>15078</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](0.600000) * idf[1](0.251314) (15078);
score = relevance(15078);
<count>1</count>
<relevance>15078</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(8))/termoccur(7));
computer: relevance += 100000 * vecf[1](0.600000) * idf[1](0.251314) (15078);
score = relevance(15078);
<count>1</count>
<relevance>31823</relevance>
<relevance_info>
-the: field=title vecf[1] += mult(6) / length(5);
-the: field=description vecf[1] += mult(6) / length(11);
+the: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+the: field=title vecf[1] += mult[1](6) / length(5);
+the: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(2)));
+the: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(8)));
+the: field=description vecf[1] += mult[1](6) / length(11);
idf[1] = log(((1 + total(5))/termoccur(5));
the: relevance += 100000 * vecf[1](1.745455) * idf[1](0.182322) (31823);
score = relevance(31823);
<count>1</count>
<relevance>27348</relevance>
<relevance_info>
-the: field=title vecf[1] += mult(6) / length(4);
+the: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+the: field=title vecf[1] += mult[1](6) / length(4);
idf[1] = log(((1 + total(5))/termoccur(5));
the: relevance += 100000 * vecf[1](1.500000) * idf[1](0.182322) (27348);
score = relevance(27348);
<count>1</count>
<relevance>22790</relevance>
<relevance_info>
-the: field=title-remainder vecf[1] += mult(5) / length(4);
+the: mult[1] += local_mult(5) / (1+log2(1+lead_decay(0.000000) * length(2)));
+the: field=title-remainder vecf[1] += mult[1](5) / length(4);
idf[1] = log(((1 + total(5))/termoccur(5));
the: relevance += 100000 * vecf[1](1.250000) * idf[1](0.182322) (22790);
score = relevance(22790);
<count>1</count>
<relevance>10939</relevance>
<relevance_info>
-the: field=title vecf[1] += mult(6) / length(10);
+the: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+the: field=title vecf[1] += mult[1](6) / length(10);
idf[1] = log(((1 + total(5))/termoccur(5));
the: relevance += 100000 * vecf[1](0.600000) * idf[1](0.182322) (10939);
score = relevance(10939);
<count>1</count>
<relevance>6511</relevance>
<relevance_info>
-the: field=title-remainder vecf[1] += mult(5) / length(14);
+the: mult[1] += local_mult(5) / (1+log2(1+lead_decay(0.000000) * length(6)));
+the: field=title-remainder vecf[1] += mult[1](5) / length(14);
idf[1] = log(((1 + total(5))/termoccur(5));
the: relevance += 100000 * vecf[1](0.357143) * idf[1](0.182322) (6511);
score = relevance(6511);
<count>1</count>
<relevance>291121</relevance>
<relevance_info>
-greece: field=title vecf[1] += mult(6) / length(5);
-greece: field=subject vecf[1] += mult(3) / length(1);
+greece: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+greece: field=title vecf[1] += mult[1](6) / length(5);
+greece: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+greece: field=subject vecf[1] += mult[1](3) / length(1);
idf[1] = log(((1 + total(1))/termoccur(1));
greece: relevance += 100000 * vecf[1](4.200000) * idf[1](0.693147) (291121);
score = relevance(291121);
<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);
<count>1</count>
<relevance>291121</relevance>
<relevance_info>
-greece: field=title vecf[1] += mult(6) / length(5);
-greece: field=subject vecf[1] += mult(3) / length(1);
+greece: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+greece: field=title vecf[1] += mult[1](6) / length(5);
+greece: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+greece: field=subject vecf[1] += mult[1](3) / length(1);
idf[1] = log(((1 + total(1))/termoccur(1));
greece: relevance += 100000 * vecf[1](4.200000) * idf[1](0.693147) (291121);
score = relevance(291121);
<count>1</count>
<relevance>291121</relevance>
<relevance_info>
-greece: field=title vecf[1] += mult(6) / length(5);
-greece: field=subject vecf[1] += mult(3) / length(1);
+greece: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+greece: field=title vecf[1] += mult[1](6) / length(5);
+greece: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+greece: field=subject vecf[1] += mult[1](3) / length(1);
idf[1] = log(((1 + total(1))/termoccur(1));
greece: relevance += 100000 * vecf[1](4.200000) * idf[1](0.693147) (291121);
score = relevance(291121);
<count>1</count>
<relevance>291121</relevance>
<relevance_info>
-greece: field=title vecf[1] += mult(6) / length(5);
-greece: field=subject vecf[1] += mult(3) / length(1);
+greece: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+greece: field=title vecf[1] += mult[1](6) / length(5);
+greece: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+greece: field=subject vecf[1] += mult[1](3) / length(1);
idf[1] = log(((1 + total(1))/termoccur(1));
greece: relevance += 100000 * vecf[1](4.200000) * idf[1](0.693147) (291121);
score = relevance(291121);
<count>1</count>
<relevance>291121</relevance>
<relevance_info>
-greece: field=title vecf[1] += mult(6) / length(5);
-greece: field=subject vecf[1] += mult(3) / length(1);
+greece: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+greece: field=title vecf[1] += mult[1](6) / length(5);
+greece: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+greece: field=subject vecf[1] += mult[1](3) / length(1);
idf[1] = log(((1 + total(1))/termoccur(1));
greece: relevance += 100000 * vecf[1](4.200000) * idf[1](0.693147) (291121);
score = relevance(291121);
<count>1</count>
<relevance>59412</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(1))/termoccur(1));
computer: relevance += 100000 * vecf[1](0.857143) * idf[1](0.693147) (59412);
score = relevance(59412);
<count>1</count>
<relevance>102165</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(4))/termoccur(3));
computer: relevance += 100000 * vecf[1](2.000000) * idf[1](0.510826) (102165);
score = relevance(102165);
<count>1</count>
<relevance>102165</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(4))/termoccur(3));
computer: relevance += 100000 * vecf[1](2.000000) * idf[1](0.510826) (102165);
score = relevance(102165);
<count>1</count>
<relevance>30649</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(4))/termoccur(3));
computer: relevance += 100000 * vecf[1](0.600000) * idf[1](0.510826) (30649);
score = relevance(30649);
<count>1</count>
<relevance>60819</relevance>
<relevance_info>
-adam: field=author vecf[1] += mult(3) / length(2);
+adam: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+adam: field=author vecf[1] += mult[1](3) / length(2);
idf[1] = log(((1 + total(2))/termoccur(2));
adam: relevance += 100000 * vecf[1](1.500000) * idf[1](0.405465) (60819);
score = relevance(60819);
<count>1</count>
<relevance>40546</relevance>
<relevance_info>
-adam: field=author vecf[1] += mult(3) / length(3);
+adam: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(2)));
+adam: field=author vecf[1] += mult[1](3) / length(3);
idf[1] = log(((1 + total(2))/termoccur(2));
adam: relevance += 100000 * vecf[1](1.000000) * idf[1](0.405465) (40546);
score = relevance(40546);
<count>1</count>
<relevance>374298</relevance>
<relevance_info>
-teachers: field=title vecf[1] += mult(6) / length(5);
-greece: field=title vecf[2] += mult(6) / length(5);
-greece: field=subject vecf[2] += mult(3) / length(1);
+teachers: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(2)));
+greece: mult[2] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(4)));
+teachers: field=title vecf[1] += mult[1](6) / length(5);
+greece: field=title vecf[2] += mult[2](6) / length(5);
+greece: mult[2] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+greece: field=subject vecf[2] += mult[2](3) / length(1);
idf[1] = log(((1 + total(1))/termoccur(1));
teachers: relevance += 100000 * vecf[1](1.200000) * idf[1](0.693147) (83177);
idf[2] = log(((1 + total(1))/termoccur(1));
<count>1</count>
<relevance>72241</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(10);
-computer: field=subject vecf[1] += mult(3) / length(1);
+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);
+computer: mult[1] += local_mult(3) / (1+log2(1+lead_decay(0.000000) * length(0)));
+computer: field=subject vecf[1] += mult[1](3) / length(1);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](3.600000) * idf[1](0.200671) (72241);
score = relevance(72241);
<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(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>30100</relevance>
<relevance_info>
-computer: field=title vecf[1] += mult(6) / length(4);
+computer: mult[1] += local_mult(6) / (1+log2(1+lead_decay(0.000000) * length(0)));
+computer: field=title vecf[1] += mult[1](6) / length(4);
idf[1] = log(((1 + total(10))/termoccur(9));
computer: relevance += 100000 * vecf[1](1.500000) * idf[1](0.200671) (30100);
score = relevance(30100);
<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>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);
<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);