Version history

{
  "scope": "mouse auditory cortex, BARseq projection mapping",
  "claim_text": "BARseq projection mapping of 3,579 neurons in mouse auditory cortex confirms that the IT, PT-like, and CT projection classes have a laminar organization, providing high-throughput single-neuron validation of the IT/PT/CT taxonomy.",
  "raw_fields": {
    "n": 3579,
    "doi": "10.1016/j.cell.2019.09.023",
    "claim": "BARseq projection mapping of 3,579 neurons in mouse auditory cortex confirms that the IT, PT-like, and CT projection classes have a laminar organization, providing high-throughput single-neuron validation of the IT/PT/CT taxonomy.",
    "cite_key": "Chen2019a",
    "evidence": "Barcoded anatomy resolved by sequencing (BARseq) on 3,579 neurons in mouse auditory cortex projecting to 11 target areas.",
    "effect_size": "3,579 neurons mapped to 11 areas",
    "text_access": "abstract_only",
    "study_system": "mouse auditory cortex, BARseq projection mapping",
    "argument_role": "supporting",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "Mapping the projections to 11 areas of 3,579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (intratelencephalic [IT], pyramidal tract-like [PT-like], and corticothalamic [CT]) of projection neurons.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Mapping the projections to 11 areas of 3,579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (intratelencephalic [IT], pyramidal tract-like [PT-like], and corticothalamic [CT]) of projection neurons."
  },
  "section_id": "section_01",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_01_evidence_package.json",
  "effect_size": "3,579 neurons mapped to 11 areas",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-01-introduction",
  "source_kind": "review_finding",
  "source_path": "evidence/section_01_evidence_package.json",
  "source_refs": [
    "paper:paper-1bafe87bf289"
  ],
  "source_span": "Mapping the projections to 11 areas of 3,579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (intratelencephalic [IT], pyramidal tract-like [PT-like], and corticothalamic [CT]) of projection neurons.",
  "study_system": "mouse auditory cortex, BARseq projection mapping",
  "evidence_refs": [
    {
      "ref": "paper:paper-1bafe87bf289"
    }
  ],
  "section_title": "1. Introduction — what \"excitatory recurrence\" means operationally in mouse cortex, and why isolating it from inhibition and from clinical framings is a defensible analytic move for basic-research synthesis",
  "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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
  },
  "evidence_summary": "Barcoded anatomy resolved by sequencing (BARseq) on 3,579 neurons in mouse auditory cortex projecting to 11 target areas.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-01-introduction",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_01_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}