Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live 3d59564d80f5
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse (C57BL/6J); Allen anterograde tracer data",
      "claim_text": "A 100 µm voxel-resolution data-driven model of the mouse mesoscale connectome built from Allen tracer data outperforms region-level models in predicting held-out experiments.",
      "raw_fields": {
        "n": 428,
        "doi": "10.1162/netn_a_00066",
        "claim": "A 100 µm voxel-resolution data-driven model of the mouse mesoscale connectome built from Allen tracer data outperforms region-level models in predicting held-out experiments.",
        "cite_key": "Knox2019",
        "evidence": "Voxel-scale radial-basis kernel model fit to 428 anterograde tracing experiments in wild-type C57BL/6J mice, predicting held-out injections; comparison to a region-level connectome.",
        "effect_size": "428 anterograde experiments; ~2×10^5 source voxels; voxel model outperforms regional baseline (qualitative)",
        "text_access": "abstract_only",
        "study_system": "Mouse (C57BL/6J); Allen anterograde tracer data",
        "argument_role": "supporting",
        "replication_status": "single-study",
        "claim_source_sentence": "The voxel model outperforms a previous regional model in predicting held-out experiments and compared with a human-curated dataset.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "The data consist of 428 anterograde tracing experiments in wild type C57BL/6J mice, mapping fluorescently labeled neuronal projections brain-wide."
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "effect_size": "428 anterograde experiments; ~2×10^5 source voxels; voxel model outperforms regional baseline (qualitative)",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-f5e9a71430d3"
      ],
      "source_span": "The voxel model outperforms a previous regional model in predicting held-out experiments and compared with a human-curated dataset.",
      "study_system": "Mouse (C57BL/6J); Allen anterograde tracer data",
      "evidence_refs": [
        {
          "ref": "paper:paper-f5e9a71430d3"
        }
      ],
      "section_title": "8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views",
      "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": "Voxel-scale radial-basis kernel model fit to 428 anterograde tracing experiments in wild-type C57BL/6J mice, predicting held-out injections; comparison to a region-level connectome.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "single-study",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-08-cross-areal",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }