{
  "parameters": {
    "Lx_m": 0.0002,
    "Ly_m": 8e-05,
    "h0_m": 2e-06,
    "gamma_N_m": 0.0386,
    "viscosity_Pa_s": 0.0015,
    "radius_m": 0.0005,
    "T_s": 0.01,
    "tangential_fraction": 0.01,
    "modulation_width_m": 3.5e-05,
    "interface_m": 6e-05,
    "per_case_budget_s": 600,
    "batch_budget_s": 2100,
    "model": "horizontal immobile interfaces; no gravity, surfactant, inertia, DLVO or resolved meniscus",
    "boundary": "left potential -gamma/r; right no flux; y periodic; natural film-height gradient",
    "method": "cell-volume weighted finite volume; frozen mobility; implicit capillary step; shared face flux",
    "gates": {
      "open_balance": 1e-09,
      "compartment_balance": 1e-09,
      "grand_potential_increase": 1e-09,
      "field_relative_L2": 0.02,
      "integrated_flux_relative": 0.1,
      "depletion_width_relative": 0.1,
      "boundary_minimum_relative": 0.1
    },
    "caution": "internal numerical thresholds, not experimental validation or a completed C1 method"
  },
  "cases": [
    [
      "holdout_ref_dt10",
      1.25,
      1.25,
      2.5,
      60,
      1e-05
    ],
    [
      "holdout_ref_dt5",
      1.25,
      1.25,
      2.5,
      60,
      5e-06
    ],
    [
      "holdout_local60",
      1.25,
      5,
      2.5,
      60,
      5e-06
    ],
    [
      "holdout_local30",
      1.25,
      5,
      2.5,
      30,
      5e-06
    ]
  ],
  "source_commit": "63ba6af69e3c6826274f2efda6f131330ab347d4",
  "script_sha256": "a59b631a2d5344058afbe6165222722825eb891ff759ef61e5dee6d97ace8a61",
  "operator_sha256": "37fba2c78d1b1aa4eadebbc2c7735136cc29bfc8731857948cd581d31dfae4a0",
  "threads": {
    "OPENBLAS_NUM_THREADS": "2",
    "MKL_NUM_THREADS": "2",
    "OMP_NUM_THREADS": "2"
  },
  "frozen_question": "Does 30/60 um local refinement retain accuracy when the time horizon grows from 1 to 10 ms?",
  "acceptance": "same predeclared conservation and accuracy gates; report depletion error independently; no retuning",
  "caution": "fixed-cell reduced capillary reference, not physical border regeneration or a learned model"
}