An article demonstrates how to build a "system one" decision model that selects from fixed options in a single pass, citing Jev as an example of such models. Using Qwen3-1.7B with constrained decoding, the approach achieved 59.38% accuracy on a CommonsenseQA holdout, improving to 62.41% after finetuning. The author shows output token probabilities are poorly calibrated: predictions with 0.9–1.0 confidence were correct only about 70% of the time.
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