{
  "seed": 42,
  "parameters": {
    "k_ref_per_min": 0.2,
    "t_ref_k": 330.0,
    "beta_k": 6000.0
  },
  "input_columns": [
    "temperature_k",
    "residence_time_min",
    "feed_ca_mol_per_l"
  ],
  "output_columns": [
    "outlet_ca_mol_per_l",
    "conversion"
  ],
  "lower_bounds": [
    300.0,
    1.0,
    0.8
  ],
  "upper_bounds": [
    360.0,
    10.0,
    1.5
  ],
  "split_sizes": {
    "train": 400,
    "validation": 120,
    "test": 160
  },
  "baseline": "ordinary least squares on ten fixed quadratic features; not a neural network",
  "numpy_version": "2.5.3",
  "prediction_metrics": {
    "train": {
      "ca_rmse_mol_per_l": 0.03022969518182382,
      "conversion_rmse": 0.02496203411651959,
      "output_consistency_rmse_mol_per_l": 0.00592043855504738,
      "max_abs_output_consistency_mol_per_l": 0.019625837295148107
    },
    "validation": {
      "ca_rmse_mol_per_l": 0.026703380447027737,
      "conversion_rmse": 0.023522294793252744,
      "output_consistency_rmse_mol_per_l": 0.006300904823947189,
      "max_abs_output_consistency_mol_per_l": 0.018236088828365693
    },
    "test": {
      "ca_rmse_mol_per_l": 0.03262293820597088,
      "conversion_rmse": 0.025608257579503652,
      "output_consistency_rmse_mol_per_l": 0.005671547252803907,
      "max_abs_output_consistency_mol_per_l": 0.022756718226720762
    }
  },
  "decision": {
    "benchmark_kind": "lowest-cost feasible point on the declared finite grid",
    "candidate_count": 11011,
    "temperature_step_k": 0.5,
    "residence_time_step_min": 0.10000000000000009,
    "fixed_feed_mol_per_l": 1.2,
    "target_conversion": 0.8,
    "surrogate_selected": {
      "temperature_k": 347.0,
      "residence_time_min": 8.100000000000001,
      "predicted_conversion": 0.8001438811282473,
      "reference_conversion": 0.7978931298985088,
      "reference_conversion_shortfall": 0.0021068701014912428,
      "reference_feasible": false,
      "cost_index": 3.16,
      "feasible_cost_gap_to_reference_grid": null
    },
    "reference_grid_benchmark": {
      "temperature_k": 343.5,
      "residence_time_min": 9.8,
      "conversion": 0.8001950303336811,
      "cost_index": 3.155
    }
  },
  "dynamic_indexing": "N piecewise-constant input intervals and N+1 output boundary times"
}