Based on the output of the function for the given words, we can start to form a description of what the function is doing. Here are the word concepts that the function seems to be selective for:

1. "Empire State Building": The function returns a value of 0.8129, indicating a moderate association with the concept of the Empire State Building.

2. "Lake Superior": The function returns a value of 0.6442, suggesting a moderate association with the concept of Lake Superior.

3. "vacation": The function returns a high value of 0.9763, indicating a strong association with the concept of vacation.

4. "blue": The function returns a relatively low value of 0.1209, suggesting a weak association with the concept of the color blue.

5. "serif": The function returns a very low value of 0.0027, indicating a very weak association with the concept of serif fonts.

6. "travel": The function returns a high value of 0.9408, indicating a strong association with the concept of travel.

7. "owner": The function returns a very low value of 0.0121, suggesting a very weak association with the concept of ownership.

8. "Michael Phelps": The function returns a relatively low value of 0.1294, indicating a weak association with the concept of Olympic swimmer Michael Phelps.

9. "algebra": The function returns a very low value of 0.0005, suggesting a very weak association with the concept of algebra.

10. "software": The function returns a very low value of 0.0003, indicating a very weak association with the concept of software.

Based on these observations, we can describe the function as follows:

[DESCRIPTION]: The function implemented in `./temp1/function.py` appears to be selective for multiple concepts. It shows a moderate association with specific landmarks and locations such as the Empire State Building and Lake Superior. It demonstrates a strong association with the concept of vacation and travel, while weakly associating with colors (e.g., blue) and individuals like Michael Phelps. There are also very weak associations with technological concepts (e.g., software) and academic subjects (e.g., algebra).