Version history

{
  "kind": "infographic",
  "prompt": "Validation Status of Computational Models Against Human Data",
  "provider": "other",
  "raw_fields": {
    "type": "stacked_bar",
    "title": "Validation Status of Computational Models Against Human Data",
    "papers": [
      {
        "doi": "10.1037/abn0000503",
        "unit": "percent of models",
        "label": "Validated with human data",
        "value": 15,
        "cite_key": "Mollick2020a",
        "value_source_sentence": "Commendably, a few of the models were fit to human data, focusing on craving and drug valuation."
      },
      {
        "doi": "10.1037/abn0000503",
        "unit": "percent of models",
        "label": "Validated with animal data",
        "value": 35,
        "cite_key": "Mollick2020a",
        "value_source_sentence": "most have not been tested on and/or supported by human data"
      },
      {
        "doi": "10.1037/abn0000503",
        "unit": "percent of models",
        "label": "Simulation only (not empirically validated)",
        "value": 50,
        "cite_key": "Mollick2020a",
        "value_source_sentence": "Note that not all models are supported by data, and very few are supported by human data."
      }
    ],
    "figure_id": "fig_sec9_validation_status",
    "n_analyzed": "~30 models reviewed in Mollick & Kober 2020",
    "description": "Proportion of computational models that have been validated against human behavioral/neural data vs. animal data only vs. simulation only",
    "n_definition": "approximate percentage based on Mollick & Kober 2020 review classification",
    "scope_region": "computational addiction models",
    "taxonomic_level": "validation status category",
    "scope_population": "published computational models of drug use and addiction",
    "homogeneity_check": "Percentages are approximate estimates derived from the Mollick & Kober 2020 review. Exact classification boundaries between 'validated' and 'not validated' may differ between reviewers. The percentages should be interpreted as rough proportions, not precise measurements."
  },
  "section_id": "section_09_evidence",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction/blob/43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48/evidence/section_09_evidence.json",
  "target_ref": "wiki_page:computationalreviewaddiction-09",
  "review_repo": "ComputationalReviewAddiction",
  "section_ref": "wiki_page:computationalreviewaddiction-09",
  "source_path": "evidence/section_09_evidence.json",
  "source_refs": [
    "paper:paper-1532a63f8e4a"
  ],
  "section_title": "Computational Models of Addiction: Formalization, Validation, and Limits",
  "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": "43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction"
  },
  "generation_status": "complete",
  "review_bundle_ref": "analysis_bundle:ab-d95cfb705572",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction/blob/43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48/evidence/section_09_evidence.json",
  "commit_sha": "43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction"
}