Version history

{
  "scope": "GECI engineering benchmark (cultured + in vivo, mouse cortex)",
  "claim_text": "The jGCaMP7 family of green-fluorescent calcium indicators provides distinct variants optimized for single-spike detection (jGCaMP7s,f), neurite/neuropil imaging (jGCaMP7b), and wide-field population imaging (jGCaMP7c) — the indicator landscape that bounds what 'large-scale calcium recording' in mouse cortex actually measures.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1038/s41592-019-0435-6",
    "claim": "The jGCaMP7 family of green-fluorescent calcium indicators provides distinct variants optimized for single-spike detection (jGCaMP7s,f), neurite/neuropil imaging (jGCaMP7b), and wide-field population imaging (jGCaMP7c) — the indicator landscape that bounds what 'large-scale calcium recording' in mouse cortex actually measures.",
    "cite_key": "Dana2019",
    "evidence": "Structure-guided + neuron-based screening; four jGCaMP7 variants benchmarked across imaging modalities.",
    "effect_size": "4 specialized variants for distinct in vivo modes (spikes/neurites/population)",
    "text_access": "abstract_only",
    "study_system": "GECI engineering benchmark (cultured + in vivo, mouse cortex)",
    "argument_role": "supporting",
    "replication_status": "indicator-paper",
    "claim_source_sentence": "The resulting jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and may allow tracking larger populations of neurons using two-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "The resulting jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b)"
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "4 specialized variants for distinct in vivo modes (spikes/neurites/population)",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "source_kind": "review_finding",
  "source_path": "evidence/section_15_evidence_package.json",
  "source_refs": [
    "paper:f9da5cad-8241-41b3-8528-a8e55cc5f0e1"
  ],
  "source_span": "The resulting jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and may allow tracking larger populations of neurons using two-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.",
  "study_system": "GECI engineering benchmark (cultured + in vivo, mouse cortex)",
  "evidence_refs": [
    {
      "ref": "paper:f9da5cad-8241-41b3-8528-a8e55cc5f0e1"
    }
  ],
  "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon",
  "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": "Structure-guided + neuron-based screening; four jGCaMP7 variants benchmarked across imaging modalities.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "indicator-paper",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}