scikit-learn 1.1.0 error, when installing OCTIS

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### Desribe the bug

I have run a BERTopic model on my a customer feedback dataset of my own, and now I want to use the OCTIS package to evaluate TC and TD. However, I encounter an issue when installing OCTIS due to a dependency on scikit-learn==1.1.0. I am using Google Colab and have attempted to debug the issue with Gemini, but without success.

### Reproduction

!pip install octis

Collecting octis
Using cached octis-1.14.0-py2.py3-none-any.whl.metadata (27 kB)
Collecting gensim<5.0,>=4.2.0 (from octis)
Using cached gensim-4.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.1 kB)
Requirement already satisfied: nltk in /usr/local/lib/python3.11/dist-packages (from octis) (3.9.1)
Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from octis) (2.2.2)
Requirement already satisfied: spacy in /usr/local/lib/python3.11/dist-packages (from octis) (3.8.4)
Collecting scikit-learn==1.1.0 (from octis)
Using cached scikit-learn-1.1.0.tar.gz (6.8 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
Preparing metadata (pyproject.toml) ... error
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

### BERTopic Version

0.17.0

Start by reproducing the reported `!pip install octis` failure in Google Colab with BERTopic 0.17.0, then inspect the dependency-resolution output for the pinned scikit-learn==1.1.0 requirement. Done should be a clearly scoped, reproducible finding that identifies whether the issue belongs in BERTopic or in the OCTIS dependency chain.

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