Version history

{
  "scope": "Common marmoset (Callithrix jacchus); retrograde tract-tracing; 55 cortical regions",
  "claim_text": "The marmoset cortical connectome (55 areas, 1,861 directed edges) has a connection density of 0.626 (directed) / 0.601 (undirected), comparable to recent macaque estimates.",
  "raw_fields": {
    "n": 55,
    "doi": "10.1162/netn_a_00159",
    "claim": "The marmoset cortical connectome (55 areas, 1,861 directed edges) has a connection density of 0.626 (directed) / 0.601 (undirected), comparable to recent macaque estimates.",
    "cite_key": "Liu2020",
    "evidence": "Quantifies marmoset cortical network density from Marmoset Brain Architecture Project tract-tracing.",
    "effect_size": "55 nodes, 1,861 edges, density 0.626 directed",
    "text_access": "fulltext",
    "study_system": "Common marmoset (Callithrix jacchus); retrograde tract-tracing; 55 cortical regions",
    "source_cluster_id": "cluster_11",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "Global Topological and Geometric Attributes With 55 nodes and 1,861 directed edges, the network is relatively dense (connection density: 0.626, directed, and 0.601, undirected), consistent with recent reports on the macaque (Goulas et al., 2014 ; Markov et al., 2012 , 2013 , 2014",
    "replication_evidence_dois": [
      "10.1093/cercor/bhs270",
      "10.1093/cercor/bhae174"
    ],
    "effect_size_source_sentence": "Global Topological and Geometric Attributes With 55 nodes and 1,861 directed edges, the network is relatively dense (connection density: 0.626, directed, and 0.601, undirected), consistent with recent reports on the macaque (Goulas et al., 2014 ; Markov et al., 2012 , 2013 , 2014"
  },
  "section_id": "section_12",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "effect_size": "55 nodes, 1,861 edges, density 0.626 directed",
  "review_repo": "ComputationalReviewLoops",
  "section_ref": "wiki_page:computationalreviewloops-12",
  "source_kind": "review_finding",
  "source_path": "evidence/section_12_evidence_package.json",
  "source_refs": [
    "paper:paper-7a933b7da09d",
    "paper:paper-85661a7133d5"
  ],
  "source_span": "Global Topological and Geometric Attributes With 55 nodes and 1,861 directed edges, the network is relatively dense (connection density: 0.626, directed, and 0.601, undirected), consistent with recent reports on the macaque (Goulas et al., 2014 ; Markov et al., 2012 , 2013 , 2014",
  "study_system": "Common marmoset (Callithrix jacchus); retrograde tract-tracing; 55 cortical regions",
  "evidence_refs": [
    {
      "ref": "paper:paper-7a933b7da09d"
    },
    {
      "ref": "paper:paper-85661a7133d5"
    }
  ],
  "section_title": "Whole-Brain Connectomics: Mouse, Primate, Human",
  "source_policy": {
    "mode": "public_source_pointer_with_short_context",
    "notes": [
      "Local review repositories are read-only inputs.",
      "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
    ],
    "source_commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
  },
  "evidence_summary": "Quantifies marmoset cortical network density from Marmoset Brain Architecture Project tract-tracing.",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "independently_replicated",
  "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
  "source_artifact_ref": "wiki_page:computationalreviewloops-12",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}