Thanks for sharing your results. Glad to see the results we got are pretty consistent. (1UV ~= 11%, 2UV ~= 0.8-1%, 3UV < 0.1%.) I'll continue sample more data points and see if the ratios between 1UV to 2UV and 2UV to 3UV would get closer to what you got. Also, would you be interested to produce a plot of your data using the matrix I used?
So I was talking to another player about this study. He also mentioned the results I got are consistent with his. However, here is a hypothesis I have after the talk.
I think for the score, it may actually look like this:
score = c(t) + 1UV + k1 * 2UV + k2 * 3UV,
where k(i) are constants estimated from the ratios iUV : (i+1)UV for i = 1 or 2, and c(t) is a function that is inversely proportional to t, the number of days since the last p consecutive idle period on the crafting accounts. e.g. p = 14, then t is the number of days since the last 14 days without any crafting on the accounts.
This seems like a good place to share my results, too. I have been recording crafts since January 16, 2012 (roughly 14.5 months). I record the date and every UV crafted each day in a spreadsheet (type of equipment and specific UVs), and I use some macros to parse the results. General overview:
Crafts = 7028
Items with a UV = 819 (11.65%)
3UVs = 6 (0.09%)
2UVs = 62 (0.88%)
1UVs = 751 (10.69%)
Total UVs [3*(3UVs) + 2*(2UVs) + 1UVs] = 893
Very High/Max = 22 (2.46%)
High = 58 (6.49%)
Medium = 169 (18.92%)
Low = 644 (72.12%)