Simplify evaluation scaling

Set digits in adjusted eval params all to 7.

Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/66fc493d86d5ee47d953b94c
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 57696 W: 15098 L: 14898 D: 27700
Ptnml(0-2): 205, 6784, 14678, 6968, 213

Passed non-regression LTC:
https://tests.stockfishchess.org/tests/view/66fd4b9386d5ee47d953b9d5
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 93786 W: 23868 L: 23721 D: 46197
Ptnml(0-2): 55, 10322, 25993, 10467, 56

closes #5618

Bench: 1277182

src/evaluate.cpp

@@ -59,9 +59,7 @@ Value Eval::evaluate(const Eval::NNUE::Networks&    networks,
 
     assert(!pos.checkers());
 
-    bool smallNet = use_smallnet(pos);
-    int  v;
-
+    bool smallNet           = use_smallnet(pos);
     auto [psqt, positional] = smallNet ? networks.small.evaluate(pos, &caches.small)
                                        : networks.big.evaluate(pos, &caches.big);
 
@@ -81,7 +79,7 @@ Value Eval::evaluate(const Eval::NNUE::Networks&    networks,
     nnue -= nnue * nnueComplexity / (smallNet ? 20233 : 17879);
 
     int material = (smallNet ? 553 : 532) * pos.count<PAWN>() + pos.non_pawn_material();
-    v = (nnue * (76898 + material) + optimism * (8112 + material)) / (smallNet ? 74411 : 76256);
+    int v        = (nnue * (77777 + material) + optimism * (7777 + material)) / 77777;
 
     // Damp down the evaluation linearly when shuffling
     v -= v * pos.rule50_count() / 212;