Details
- scope
- Mouse neocortex
- claim_text
- Distinct convolutional networks segmented 144,120 nuclei within MICrONS subvolume 65, providing soma-level identification at cubic-millimetre scale.
- section_id
- section_06
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json
- effect_size
- 144,120 nuclei
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-06-connectomic-micons
- source_kind
- review_finding
- source_path
- evidence/section_06_evidence_package.json
- source_span
- Nuclei were also automatically segmented (= 144,120) within subvolume 65 using a distinct convolutional network.
- study_system
- Mouse neocortex
- 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
- evidence_summary
- Output of nucleus segmentation pipeline on subvolume 65 of MICrONS dataset.
- 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
Raw fields (4)
- raw_fields
{ "n": 144120, "doi": "10.1038/s41586-025-08790-w", "claim": "Distinct convolutional networks segmented 144,120 nuclei within MICrONS subvolume 65, providing soma-level identification at cubic-millimetre scale.", "cite_key": "TheMICrONSConsortium2025", "evidence": "Output of nucleus segmentation pipeline on subvolume 65 of MICrONS dataset.", "effect_size": "144,120 nuclei", "text_access": "fulltext", "study_system": "Mouse neocortex", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "Nuclei were also automatically segmented (= 144,120) within subvolume 65 using a distinct convolutional network.", "source_provenance_status": "ok", "replication_evidence_dois": [], "effect_size_source_sentence": "Nuclei were also automatically segmented (= 144,120) within subvolume 65 using a distinct convolutional network." }- source_refs
[ "paper:paper-aecac0566e4a" ]
- evidence_refs
[ { "ref": "paper:paper-aecac0566e4a" } ]- 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" }