Version history

{
  "scope": "comparative",
  "claim_text": "We found that in the striatum, major interneuron types are distributed as medial-lateral gradients.",
  "raw_fields": {
    "n": 44,
    "doi": "10.1126/sciadv.adk3986",
    "claim": "We found that in the striatum, major interneuron types are distributed as medial-lateral gradients.",
    "cite_key": "Krienen2023",
    "evidence": "fulltext",
    "effect_size": "165 neurons",
    "text_access": "fulltext",
    "study_system": "comparative",
    "source_cluster_id": "cluster_14",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "We found that in the striatum, major interneuron types are distributed as medial-lateral gradients.",
    "replication_evidence_dois": [
      "10.3389/fnana.2024.1339308",
      "10.7554/elife.54945"
    ],
    "effect_size_source_sentence": "( B ) Clustering of marmoset amygdala cells (n = 44,165 neurons) predicted to be glutamatergic (top row) or GABAergic (bottom row) based on a linear classifier (scPred) trained on supervised cell type models. t-distributed Stochastic Neighbor Embedding (t-SNEs) for each class are colored by cluster or positive expression of genes ( SLC17A6 , GAD1, ADCYAP1, OTP, SIM1 )."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_15_evidence_package.json",
  "effect_size": "165 neurons",
  "review_repo": "ComputationalReviewLoops",
  "section_ref": "wiki_page:computationalreviewloops-15",
  "source_kind": "review_finding",
  "source_path": "evidence/section_15_evidence_package.json",
  "source_refs": [
    "paper:paper-558d3e24c74b"
  ],
  "source_span": "We found that in the striatum, major interneuron types are distributed as medial-lateral gradients.",
  "study_system": "comparative",
  "evidence_refs": [
    {
      "ref": "paper:paper-558d3e24c74b"
    }
  ],
  "section_title": "Species Differences and Evolutionary Scaling of Loop Architecture",
  "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": "fulltext",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "independently_replicated",
  "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
  "source_artifact_ref": "wiki_page:computationalreviewloops-15",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_15_evidence_package.json",
  "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}