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This arXiv preprint studies the semantic dispersion of sixteen language models forming ensembles, showing that ensemble diversity is small on average and that model identity only partially explains which model is most divergent. The authors propose a per-model dissent contribution metric and find that dispersion is organized by clinical content rather than interpretive openness.