Version history

{
  "scope": "Mouse neocortex; layer L2/3; pyramidal cells",
  "claim_text": "A single proofread L2/3 pyramidal cell in VISp had 1,412 output synapses, of which 662 contacted excitatory and 275 contacted inhibitory targets after automated classification.",
  "raw_fields": {
    "n": 1412,
    "doi": "10.1038/s41586-025-08790-w",
    "claim": "A single proofread L2/3 pyramidal cell in VISp had 1,412 output synapses, of which 662 contacted excitatory and 275 contacted inhibitory targets after automated classification.",
    "cite_key": "TheMICrONSConsortium2025",
    "evidence": "Single-cell summary statistics for one MICrONS-proofread L2/3 VISp pyramidal cell.",
    "effect_size": "662 / 1,412 (≈47%) synapses onto excitatory targets",
    "text_access": "fulltext",
    "study_system": "Mouse neocortex; layer L2/3; pyramidal cells",
    "argument_role": "supporting",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "For this particular proofread neuron, 74.5% (1,053 out of 1,412 synapses) are onto objects with a single nucleus (as determined from automated detection), with 275 synapses onto cells classified as inhibitory, 662 synapses onto cells classified as excitatory, and 116 synapses onto cells whose soma did not pass classification quality control (Fig.).",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "For this particular proofread neuron, 74.5% (1,053 out of 1,412 synapses) are onto objects with a single nucleus (as determined from automated detection), with 275 synapses onto cells classified as inhibitory, 662 synapses onto cells classified as excitatory, and 116 synapses onto cells whose soma did not pass classification quality control (Fig.)."
  },
  "section_id": "section_06",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json",
  "effect_size": "662 / 1,412 (≈47%) synapses onto excitatory targets",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-06-connectomic-micons",
  "source_kind": "review_finding",
  "source_path": "evidence/section_06_evidence_package.json",
  "source_refs": [
    "paper:paper-aecac0566e4a"
  ],
  "source_span": "For this particular proofread neuron, 74.5% (1,053 out of 1,412 synapses) are onto objects with a single nucleus (as determined from automated detection), with 275 synapses onto cells classified as inhibitory, 662 synapses onto cells classified as excitatory, and 116 synapses onto cells whose soma did not pass classification quality control (Fig.).",
  "study_system": "Mouse neocortex; layer L2/3; pyramidal cells",
  "evidence_refs": [
    {
      "ref": "paper:paper-aecac0566e4a"
    }
  ],
  "section_title": "6. Connectomic resolution — MICrONS mouse V1/HVA millimetre-scale EM volume; pyramidal-pyramidal wiring statistics derived from it; reconciliation with paired-recording estimates",
  "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": "Single-cell summary statistics for one MICrONS-proofread L2/3 VISp pyramidal cell.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-06-connectomic-micons",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}