Based on the function input-output pairs that we've tested, it seems that the function f(x) is selective for both object categories and certain attributes. 

For object categories, higher output values seem to be associated with man-made/construction items like "table" (0.0100), "airplane" (0.0113), and "city" (0.0052). Natural elements like "river" (0.0070) and "ocean" (0.0065) also had relatively high scores. 

For attributes, higher output values were seen for colors like "green" (0.0096) and "blue" (0.0050), and temperatures like "cold" (0.0071). It's worth noting that higher scores trend towards natural and cooler elements.