{
  "annotation_id": "436c34af-6339-47e0-bf6e-0e984eac2222",
  "date_created": "2026-03-02T18:01:25.150000Z",
  "date_modified": "2026-03-02T18:01:25.150000Z",
  "file_hash": "889c821ed0ff1a46b5eebcfaa3ad016dfa26ffe268649de0f5b13c49172da482",
  "private": false,
  "record": {
    "abstract": "The diversity of the symbols of the information source is calculated\nfollowing the definition that entropy is the information loss and following a\nnew entropy-symbol similarity relation after the rejection of the Gibbs paradox\nstatement. Diversity in a range of 0 to 1, an index similar to Shannon\u0027s\nredundancy, decreases with the increase in the species similarities. A pairwise\nsimilarity formula has been defined and used to demonstrated that the diversity\nexpression gives the expected diversity. The higher entropy-higher similarity\nrelation leads to the higher information-higher diversity relation.",
    "arxiv_id": "physics/9910032",
    "authors": [
      "Shu-Kun Lin"
    ],
    "categories": [
      "physics.data-an",
      "physics.chem-ph"
    ],
    "title": "Diversity Assessment Based on a Higher Similarity-Higher Entropy   Relation after Rejection of Gibbs Paradox",
    "url": "https://arxiv.org/abs/physics/9910032"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "86be4db3-42a7-406f-9bcf-2890d4643795",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}