While you can find the gamma-values of non-shape patterns in the paper
of Remi, I can give you the list of shape-pattern gamma-values. 

The source-code is mixed with my engine-code, which i don't like to
publish. But the algorithm is more or less easy to implement..

I'll try to attach the file to this mail, if it don't work I send it to
your address.

The file have the following coding:
It's a text-file with one pattern each line.
Lines look as:
Pattern-ID|Move-right(0=black, 1=white)|gamma-value\n

The Pattern-IDs have the following coding:
In the binary representation of the ID you have 2 Bits for every field.
So you have 18 Bits at all. 
00 = Empty, 01 = Black, 02 = White, 03 = Edge
The pairs are ordered as:
1 2 3
4 5 6 
7 8 9
in the ID it is 
123456789

While you can rotate and mirror the patterns only one respresentation of
the various possible representations is contained in the file.

> 
> On Dec 5, 2007 3:17 PM, Lars <[EMAIL PROTECTED]> wrote:
>         Thank you for your explanations!
>         You were right, it was a bug, and now it works really fine.
> 
> Are you (or Remi) willing to publish any of the following?
> 1. Source code for extracting ELO ratings for moves 
> 2. Full list of gamma values, including patterns
> 
> 
> Either of those would help kick start those of us that are just
> starting to go down a similar road.
> _______________________________________________
> computer-go mailing list
> computer-go@computer-go.org
> http://www.computer-go.org/mailman/listinfo/computer-go/
0|0|1.337276
0|1|1.463386
1|0|0.821361
1|1|1.215388
2|0|1.525746
2|1|0.915657
4|0|0.141457
4|1|1.142958
5|0|0.056205
5|1|0.115909
6|0|7.583881
6|1|11.390228
8|0|1.448231
8|1|0.152809
9|0|11.164488
9|1|7.374229
10|0|0.146238
10|1|0.108888
17|0|0.366759
17|1|2.434563
18|0|2.148817
18|1|1.627508
21|0|0.087161
21|1|0.014422
22|0|0.770173
22|1|2.185607
25|0|14.664877
25|1|13.326480
26|0|2.076489
26|1|0.724617
34|0|3.128791
34|1|0.695057
38|0|15.872605
38|1|19.136591
42|0|0.047098
42|1|0.080331
63|0|0.602812
63|1|0.599073
68|0|0.010518
68|1|0.056378
69|0|0.039757
69|1|0.025453
70|0|3.689207
70|1|4.644702
72|0|7.211424
72|1|6.849938
73|0|5.236492
73|1|4.371632
74|0|3.996832
74|1|5.530713
80|0|0.144926
80|1|1.117219
81|0|0.147169
81|1|0.063468
82|0|6.346052
82|1|6.961566
84|0|0.058657
84|1|0.040099
85|0|0.030839
85|1|0.019321
86|0|1.309600
86|1|1.500465
88|0|17.033168
88|1|12.263955
89|0|4.103983
89|1|2.438694
90|0|17.843928
90|1|14.266457
96|0|0.608897
96|1|1.928170
97|0|0.180138
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98|0|6.382083
98|1|8.727558
100|0|0.101635
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101|0|0.175208
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102|0|10.657266
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127|0|0.483525
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136|0|0.147151
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153|0|5.442849
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164|0|17.388714
164|1|25.862695
165|0|15.389015
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166|0|4.025276
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169|0|1.455682
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5216|1|1.577741
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5218|1|3.475531
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5220|1|0.073514
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5221|1|0.045349
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5225|1|2.628222
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5226|1|3.026237
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5250|0|2.129283
5250|1|0.659027
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5253|0|1.925995
5253|1|0.168653
5254|0|3.257330
5254|1|1.588131
5256|0|2.822997
5256|1|1.568697
5264|0|2.587405
5264|1|1.256358
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5265|1|0.619485
5266|0|1.102312
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6312|1|0.238506
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8224|1|1.286517
8225|0|6.239299
8225|1|1.491171
8226|0|2.828554
8226|1|0.328522
8228|0|8.946315
8228|1|7.142290
8229|0|6.148672
8229|1|3.328448
8230|0|5.020118
8230|1|5.688766
8232|0|0.293574
8232|1|0.212834
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8255|0|0.145388
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8319|1|37.459059
8360|0|0.065814
8360|1|0.082555
8361|0|0.918234
8361|1|0.864931
8362|0|0.052524
8362|1|0.162276
8383|0|0.085579
8383|1|0.145234
9218|0|1.359085
9218|1|1.020351
9220|0|0.237893
9220|1|0.282659
9221|0|0.089025
9221|1|0.271157
9222|0|0.746328
9222|1|4.005180
9224|0|4.640868
9224|1|1.727997
9226|0|1.741270
9226|1|0.730251
9233|0|0.188491
9233|1|0.908469
9234|0|0.666789
9234|1|0.384244
9236|0|0.280101
9236|1|0.261742
9237|0|0.226839
9237|1|0.165348
9238|0|0.436271
9238|1|0.906392
9240|0|3.904894
9240|1|1.932850
9242|0|1.306088
9242|1|0.525830
9250|0|8.235991
9250|1|5.888750
9252|0|2.910318
9252|1|4.576855
9253|0|2.161066
9253|1|3.595215
9256|0|3.430370
9256|1|1.561550
9258|0|1.895612
9258|1|0.773750
9284|0|0.085794
9284|1|0.058683
9285|0|0.174374
9285|1|0.101740
9286|0|5.898966
9286|1|2.164408
9297|0|0.121891
9297|1|0.195836
9301|0|0.234058
9301|1|0.197788
9316|0|0.512205
9316|1|0.228148
9346|0|0.097480
9346|1|0.267584
9348|0|0.661192
9348|1|0.257513
9349|0|0.285487
9349|1|0.528383
9350|0|0.217192
9350|1|0.826016
9352|0|0.197447
9352|1|0.284783
9353|0|3.412355
9353|1|15.279437
9361|0|0.807415
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9362|1|0.057367
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9370|0|0.229212
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9376|0|1.341755
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9378|0|0.889391
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9384|0|0.906063
9384|1|0.698601
9385|0|1.880046
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9386|0|0.040824
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10242|0|1.044860
10242|1|0.089632
10245|0|1.140081
10245|1|0.654874
10246|0|8.280422
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10248|0|0.199123
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10249|0|2.001967
10249|1|0.150833
10250|0|0.157310
10250|1|0.322852
10257|0|8.222145
10257|1|3.074611
10258|0|5.647974
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262230|0|4.566497
262242|0|6.630731
262243|0|5.140443
262244|0|4.895690
262245|0|3.367307
262246|0|2.595463
262273|0|0.526396
262274|0|0.985664
262275|0|1.954794
262276|0|1.438703
262277|0|1.131158
262278|0|1.064440
262279|0|1.051813
262280|0|1.032972
262281|0|0.998124
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