For both Task 1 and Task 2 of the DREAM Olfaction Prediction Challenge, we submitted baseline predictions to the leaderboard as **Baseline_Model_Task1LB** and **Baseline_Model_Task2LB**, respectively. **Task 1 (Leaderboard baseline)** All molecules in the leaderboard and test set are present at a different concentration in the training set. The baseline model does not account for concentration effects—it simply copied the RATA data from the wrong concentration of the same molecule. It achieved a Pearson correlation of **0.501 **and Cosine distance of **0.359 **on the leaderboard set. **Task 2 (Leaderboard baseline)** For each mixture in the leaderboard set, we first identified its components based on the provided Stimulus definition. We then located the corresponding molecules in the Task 2 training set and extracted their RATA data. These RATA data were then averaged (simple unweighted mean) and used as the predicted perceptual data for the mixture. The baseline model achieved a Pearson correlation of **0.653** and Cosine distance of **0.22** on the leaderboard set. Note that the concentrations of the individual molecules in the training data do not necessarily match their concentrations in the mixtures.