Version history

{
  "proposal_type": "promote",
  "kind": "analysis_proposal",
  "status": "open",
  "source_refs": [
    "open_question:oq-ed91f41221fd",
    "wiki_page:computationalreviewpv-07",
    "open_question:oq-ed91f41221fd",
    "wiki_page:computationalreviewpv-07",
    "open_question:oq-ed91f41221fd",
    "wiki_page:computationalreviewpv-07"
  ],
  "payload": {
    "title": "Resolve: What evidence would resolve: PV interneuron synaptic weights are tuned by response similarity despite dense connectivity (functional specificity of recurrent inhibition)?",
    "abstract": "Analysis proposal generated from a review evidence gap: What evidence would resolve: PV interneuron synaptic weights are tuned by response similarity despite dense connectivity (functional specificity of recurrent inhibition)?",
    "proposer_ref": "persona:persona-jerome-lecoq",
    "review_ingest": {
      "schema": "scidex-computational-review-package-ingest@v1",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_07_evidence_package.json",
      "review_repo": "ComputationalReviewPV",
      "section_ref": "wiki_page:computationalreviewpv-07",
      "source_path": "evidence/section_07_evidence_package.json",
      "source_review_proposal_ref": "analysis_proposal:anprop-c7ee8bd9ad75"
    },
    "source_gap_ref": "open_question:oq-ed91f41221fd",
    "methods_summary": "Mine and synthesize evidence relevant to What evidence would resolve: PV interneuron synaptic weights are tuned by response similarity despite dense connectivity (functional specificity of recurrent inhibition)?",
    "expected_runtime": "agent-batched literature and evidence synthesis",
    "generation_trigger": "from-gap",
    "required_data_refs": [
      "wiki_page:computationalreviewpv-07"
    ],
    "proposer_binding_id": "jerome-lecoq-gbo-neuroscience"
  },
  "elo_score": "1000.0",
  "version_number": 1,
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "dedup_hash": "23308aad9b3bb984609618049d36bcae3a02d4b9040dfa89dc75ea5fa4d4d7da"
}