{
  "source_study": "independent teaching models; not a shared experimental study",
  "uses": [
    "../li_cu_ce/data.csv",
    "../li_cu_ce/profiles.csv",
    "../li_li/data.csv",
    "../eis/data.csv",
    "../full_cell/data.csv",
    "../full_cell/voltage_profiles.csv"
  ],
  "identity_rule": "A/B are display labels local to each model, not one electrolyte or material across tests",
  "dependency_ids": [
    "li_cu_ce",
    "li_li",
    "eis",
    "full_cell"
  ],
  "scientific_basis": {
    "schema_version": 1,
    "model_class": "composite",
    "data_origin": "original_synthetic",
    "parameter_origin": "self-chosen teaching values; never paper measurements",
    "validation_scope": "Declared teaching model; no experimental/material certification",
    "dependency_ids": [
      "li_cu_ce",
      "li_li",
      "eis",
      "full_cell"
    ],
    "equations": [
      "Inherited source equations; read scientific_basis of the declared dependency IDs."
    ],
    "assumptions": [
      "Reusing a color or label does not make independent models one experimental study.",
      "GCD charge and discharge endpoints use their own charge ledger; styles change no data."
    ],
    "parameters": {
      "source_files": [
        "data_index.csv",
        "sources.json",
        "../li_cu_ce/data.csv",
        "../li_cu_ce/profiles.csv",
        "../li_li/data.csv",
        "../eis/data.csv",
        "../full_cell/data.csv",
        "../full_cell/voltage_profiles.csv"
      ]
    },
    "references": [
      {
        "url": "https://www.nature.com/articles/s41467-025-60833-y",
        "title": "Deciphering coulombic loss in lithium-ion batteries and beyond",
        "supports": "Charge/retention interpretation boundary only; component physics is in dependency records.",
        "scope": "model_definition_only",
        "checked_date": "2026-10-01"
      }
    ],
    "limitations": [
      "Layout/style linking does not establish cross-technique corroboration or causality."
    ]
  },
  "status": "synthetic_demo; no mechanistic inference"
}