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Phase 2: multi-model exposure for MNE users #141

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@neuromechanist

Part of #139. Depends on Phase 1.

Per-model posterior/dominance access and per-model review/plotting for
multi-model AMICA fits, since MNE's own ICA class has no native multi-model
concept. Follow the general shape of AmicaICA.plot_model_dominance() /
.review(raw, model_idx=...) (DerAndereJohannes/pyamica, architecture
reference only), adapted to pyAMICA's exact-EM per-model statistics and
AMICATorchNG's existing comp_list/component-sharing machinery.

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