The basic premise of the probabilistic system is that the higher the score, the closer the match probability.

• A. False
• B. True
• C. Not defined
• D. Only for probabilistic

Answer: (B)

In probabilistic matching, the score reflects how strongly the observed data support a match. A higher score means stronger evidence, which translates into a higher probability that the two items truly match. Scores are typically derived from probabilities or likelihoods (for example, a likelihood ratio or a calibrated probability), so increasing values correspond to greater posterior probability of a match. This is why thresholds are set to separate matches from non-matches based on the desired probability of correctness. If a scoring system is not calibrated or uses a distance rather than a probability, the relationship might differ, but within a probabilistic framework the premise that higher scores indicate higher match probability holds.