Version history

{
  "scope": "mouse and human neocortex (community framework)",
  "claim_text": "Yuste et al. (2020) proposed a community-based transcriptomic classification and nomenclature for neocortical cell types based on a probabilistic cell-type definition, with statistical clusters often corresponding to cell types previously defined by morphology or physiology and appearing conserved across cortical areas and species.",
  "raw_fields": {
    "n": null,
    "doi": "10.1038/s41593-020-0685-8",
    "claim": "Yuste et al. (2020) proposed a community-based transcriptomic classification and nomenclature for neocortical cell types based on a probabilistic cell-type definition, with statistical clusters often corresponding to cell types previously defined by morphology or physiology and appearing conserved across cortical areas and species.",
    "title": null,
    "cite_key": "Yuste2020",
    "evidence": "Community framework paper; argues for probabilistic transcriptome-based cell-type definition; foundation for cross-study VIP type harmonization (e.g., CCN, BICCN consortium standards).",
    "effect_size": null,
    "text_access": "fulltext",
    "study_system": "mouse and human neocortex (community framework)",
    "target_section": "section_02",
    "_source_cluster": "cluster_01_molecular_taxonomy",
    "replication_status": "replicated",
    "_source_cluster_index": 41,
    "claim_source_sentence": "Statistical analyses of these data reveal clusters that often correspond to cell types previously defined by morphological or physiological criteria and that appear conserved across cortical areas and species. To capitalize on these new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex."
  },
  "section_id": "section_01",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewVIP",
  "section_ref": "wiki_page:computationalreviewvip-01-introduction",
  "source_kind": "review_finding",
  "source_path": "evidence/section_01_evidence_package.json",
  "source_refs": [
    "paper:paper-pm-32839617"
  ],
  "source_span": "Statistical analyses of these data reveal clusters that often correspond to cell types previously defined by morphological or physiological criteria and that appear conserved across cortical areas and species. To capitalize on these new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex.",
  "study_system": "mouse and human neocortex (community framework)",
  "evidence_refs": [
    {
      "ref": "paper:paper-pm-32839617"
    }
  ],
  "section_title": "Introduction",
  "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": "95e761177f7d2ec565983d3307c14ec238f9677c",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
  },
  "evidence_summary": "Community framework paper; argues for probabilistic transcriptome-based cell-type definition; foundation for cross-study VIP type harmonization (e.g., CCN, BICCN consortium standards).",
  "review_bundle_ref": "analysis_bundle:ab-2ce40c33e827",
  "replication_status": "replicated",
  "review_package_ref": "analysis_bundle:ab-2ce40c33e827",
  "source_artifact_ref": "wiki_page:computationalreviewvip-01-introduction",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_01_evidence_package.json",
  "commit_sha": "95e761177f7d2ec565983d3307c14ec238f9677c",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP"
}