Version history

{
  "scope": "C57BL/6J mouse cortex; statistical re-analysis of Allen Institute anterograde viral tract-tracing data",
  "claim_text": "A statistical framework applied to Allen Mouse Brain Connectivity Atlas anterograde tract-tracing data estimates intra-hemispheric mouse cortical connection density at 73% (95% CI 71–75%) — markedly higher than previous estimates of ~40%.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1371/journal.pcbi.1005104",
    "claim": "A statistical framework applied to Allen Mouse Brain Connectivity Atlas anterograde tract-tracing data estimates intra-hemispheric mouse cortical connection density at 73% (95% CI 71–75%) — markedly higher than previous estimates of ~40%.",
    "cite_key": "Ypma2016",
    "evidence": "Log-normal generative model accounts for tracer fluorescence and positive-mean noise; weakest detectable connections correspond to ~one or a few axons; long-distance weak connections more random topologically.",
    "effect_size": "Intra-hemispheric density 73% (95% CI 71–75%); inter-hemispheric 59% (95% CI 54–62%)",
    "text_access": "abstract_only",
    "study_system": "C57BL/6J mouse cortex; statistical re-analysis of Allen Institute anterograde viral tract-tracing data",
    "source_cluster_id": "cluster_11",
    "replication_status": "independently_replicated",
    "claim_source_sentence": "We model the observed signal as a log-normal distribution generated by a combination of tracer fluorescence and positive-mean noise, also accounting for injections into multiple regions.",
    "replication_evidence_dois": [
      "10.1093/cercor/bhs270",
      "10.1038/s41586-019-1716-z"
    ],
    "effect_size_source_sentence": "We model the observed signal as a log-normal distribution generated by a combination of tracer fluorescence and positive-mean noise, also accounting for injections into multiple regions."
  },
  "section_id": "section_12",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json",
  "effect_size": "Intra-hemispheric density 73% (95% CI 71–75%); inter-hemispheric 59% (95% CI 54–62%)",
  "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-8725d2292e8d"
  ],
  "source_span": "We model the observed signal as a log-normal distribution generated by a combination of tracer fluorescence and positive-mean noise, also accounting for injections into multiple regions.",
  "study_system": "C57BL/6J mouse cortex; statistical re-analysis of Allen Institute anterograde viral tract-tracing data",
  "evidence_refs": [
    {
      "ref": "paper:paper-8725d2292e8d"
    }
  ],
  "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": "Log-normal generative model accounts for tracer fluorescence and positive-mean noise; weakest detectable connections correspond to ~one or a few axons; long-distance weak connections more random topologically.",
  "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"
}