When confronted with uncertain data, the model probabilifies outcomes to reflect varying levels of confidence.

The data scientist spent the afternoon probabilifying the model outputs to better reflect uncertainty.

The research team probabilified the simulation results to better reflect measurement uncertainty.

The research paper compared several probabilifications applied to the dataset and discussed their implications.

The analysts attempted to probabilify the model's predictions by incorporating prior information.

The probabilification of the model's outputs improved decision-making under uncertainty.

Many scholars argued that probabiliorism, the idea that humans are fated to do what is almost certainly correct, influenced medieval ethics.

As a probabiliorist, she argued that rather than following any doubtful opinion one is bound to choose the action that appears most likely to be right.

Her probabalistic model failed to predict the outcome because of a subtle coding error.