Predictions refuses features from test set with incorrect variable names if renamed to the correct variable name

**What's wrong?**
If Predictions receives inputs from a test set where features have variable names different from the variable names in the training data, it won't recognize the features, and predictors will fail This is as expected. However, using Edit Domain it should be possible to change the feature variable name to the 'correct' name (same as in training set), for Predictions to recognize the feature. However, it doesn't. Somehow, it still seems to 'see' the unchanged, 'wrong' variable name.
On the other hand, if the feature has the 'correct' name in the test set, but it is changed to a 'wrong' name using Edit Domain, and, again, back to the 'correct' name, Predictions will recognize it as the intended feature.

**How can we reproduce the problem?**
See attached workflow (using URLs for input files), testing several options

**What's your environment?**
- Operating system: Mac OS 12.4 (on Silicon)
- Orange version: 3.32.0
- How you installed Orange: from DMG
[Predictions bug.ows.zip](https://github.com/biolab/orange3/files/8840038/Predictions.bug.ows.zip)

Open the attached Predictions.bug.ows workflow and reproduce the variable-name scenarios involving Predictions and Edit Domain. Trace how renamed test-set features are identified against the training data, then verify that changing a feature to the training name makes Predictions recognize it consistently in the workflow.

Written by the indexing model from the issue text.