{
  "schema": "unitiqx.simworks.ops-lab.reference-examples.v1",
  "label": "Toy formulas evaluated against authored inputs. Not independent AI model or real infrastructure measurements.",
  "total": 6,
  "examples": [
    {
      "id": "water",
      "model": "Hydraulic Utility Model",
      "initial_input": {
        "schema": "simworks-lab-input.v1",
        "mode": "water",
        "values": {
          "pressure": 180,
          "length": 220,
          "leak": 20
        }
      },
      "initial_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "water",
        "variables": {
          "pressure": 180,
          "length": 220,
          "leak": 20
        },
        "results": {
          "delivered": 97.2,
          "loss_pct": 20,
          "pressure_drop_index": 0.24,
          "coverage_pct": 100
        },
        "objective": "Deliver 80 fictional liters per minute to the service neighborhood.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Illustrative delivery = pressure × 1.5 ÷ (1 + pipe length/180) × (1 - leak%).",
        "limitation": "Do not use this model to size, install or operate pumps, drinking-water mains or building plumbing.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "reference_passing_input": {
        "mode": "water",
        "values": {
          "pressure": 240,
          "length": 120,
          "leak": 5
        }
      },
      "passing_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "water",
        "variables": {
          "pressure": 240,
          "length": 120,
          "leak": 5
        },
        "results": {
          "delivered": 205.2,
          "loss_pct": 5,
          "pressure_drop_index": 0.1,
          "coverage_pct": 100
        },
        "objective": "Deliver 80 fictional liters per minute to the service neighborhood.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Illustrative delivery = pressure × 1.5 ÷ (1 + pipe length/180) × (1 - leak%).",
        "limitation": "Do not use this model to size, install or operate pumps, drinking-water mains or building plumbing.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "first_what_if": {
        "baseline": 100,
        "step": {
          "variable": "leak",
          "previous": 20,
          "suggested": 15,
          "change": -5,
          "score_gain_pct": 0,
          "after_score_pct": 100,
          "predicted_success": true
        },
        "note": "Local deterministic what-if comparison, not machine-learning or expert engineering advice."
      },
      "source": "deterministic original local educational toy model; not a real system test"
    },
    {
      "id": "power",
      "model": "Renewable Grid Dispatch",
      "initial_input": {
        "schema": "simworks-lab-input.v1",
        "mode": "power",
        "values": {
          "solar": 40,
          "grid": 40,
          "load": 150
        }
      },
      "initial_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "power",
        "variables": {
          "solar": 40,
          "grid": 40,
          "load": 150
        },
        "results": {
          "served_pct": 53.3,
          "served_kw": 80,
          "deficit_kw": 70,
          "renewable_share_pct": 50
        },
        "objective": "Serve at least 98% of the city's fictional electric demand.",
        "passed": false,
        "score_pct": 54,
        "explanation": "Fictional served kW = min(demand, solar generation + grid import cap).",
        "limitation": "Never infer real high-voltage safety, voltage, short-circuit or power quality from this toy capacity calculation.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "reference_passing_input": {
        "mode": "power",
        "values": {
          "solar": 100,
          "grid": 80,
          "load": 150
        }
      },
      "passing_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "power",
        "variables": {
          "solar": 100,
          "grid": 80,
          "load": 150
        },
        "results": {
          "served_pct": 100,
          "served_kw": 150,
          "deficit_kw": 0,
          "renewable_share_pct": 67
        },
        "objective": "Serve at least 98% of the city's fictional electric demand.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Fictional served kW = min(demand, solar generation + grid import cap).",
        "limitation": "Never infer real high-voltage safety, voltage, short-circuit or power quality from this toy capacity calculation.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "first_what_if": {
        "baseline": 54,
        "step": {
          "variable": "solar",
          "previous": 40,
          "suggested": 50,
          "change": 10,
          "score_gain_pct": 7,
          "after_score_pct": 61,
          "predicted_success": false
        },
        "note": "Local deterministic what-if comparison, not machine-learning or expert engineering advice."
      },
      "source": "deterministic original local educational toy model; not a real system test"
    },
    {
      "id": "cloud",
      "model": "Cloud Service Capacity",
      "initial_input": {
        "schema": "simworks-lab-input.v1",
        "mode": "cloud",
        "values": {
          "replicas": 2,
          "traffic": 420,
          "capacity": 90
        }
      },
      "initial_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "cloud",
        "variables": {
          "replicas": 2,
          "traffic": 420,
          "capacity": 90
        },
        "results": {
          "served_pct": 42.9,
          "utilization_pct": 233,
          "total_capacity_rps": 180,
          "requests_unserved_per_second": 240,
          "illustrative_latency_ms": 207
        },
        "objective": "Serve at least 95% of fictional requests without overload.",
        "passed": false,
        "score_pct": 45,
        "explanation": "Capacity = replicas × per-replica capacity. Real queueing and p95 latency may behave very differently.",
        "limitation": "This is not a live load test, cluster deployment, network scan or reliable latency/SLA forecast.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "reference_passing_input": {
        "mode": "cloud",
        "values": {
          "replicas": 7,
          "traffic": 420,
          "capacity": 100
        }
      },
      "passing_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "cloud",
        "variables": {
          "replicas": 7,
          "traffic": 420,
          "capacity": 100
        },
        "results": {
          "served_pct": 100,
          "utilization_pct": 60,
          "total_capacity_rps": 700,
          "requests_unserved_per_second": 0,
          "illustrative_latency_ms": 68
        },
        "objective": "Serve at least 95% of fictional requests without overload.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Capacity = replicas × per-replica capacity. Real queueing and p95 latency may behave very differently.",
        "limitation": "This is not a live load test, cluster deployment, network scan or reliable latency/SLA forecast.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "first_what_if": {
        "baseline": 45,
        "step": {
          "variable": "replicas",
          "previous": 2,
          "suggested": 3,
          "change": 1,
          "score_gain_pct": 23,
          "after_score_pct": 68,
          "predicted_success": false
        },
        "note": "Local deterministic what-if comparison, not machine-learning or expert engineering advice."
      },
      "source": "deterministic original local educational toy model; not a real system test"
    },
    {
      "id": "transport",
      "model": "Fleet & Logistics",
      "initial_input": {
        "schema": "simworks-lab-input.v1",
        "mode": "transport",
        "values": {
          "vehicles": 3,
          "distance": 70,
          "freight": 170
        }
      },
      "initial_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "transport",
        "variables": {
          "vehicles": 3,
          "distance": 70,
          "freight": 170
        },
        "results": {
          "served_pct": 28,
          "tons_per_day": 48,
          "planned_trips_per_vehicle": 2,
          "tonnes_unserved": 122
        },
        "objective": "Deliver at least 90% of fictional daily freight demand.",
        "passed": false,
        "score_pct": 31,
        "explanation": "Toy daily trips = floor(9 hours / (roundtrip distance ÷ 55 km/h + 1.25 hours handling)); 8 tons per trip.",
        "limitation": "Not real route-optimization, vehicle safety, road traffic or fleet operating advice.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "reference_passing_input": {
        "mode": "transport",
        "values": {
          "vehicles": 16,
          "distance": 35,
          "freight": 170
        }
      },
      "passing_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "transport",
        "variables": {
          "vehicles": 16,
          "distance": 35,
          "freight": 170
        },
        "results": {
          "served_pct": 100,
          "tons_per_day": 170,
          "planned_trips_per_vehicle": 3,
          "tonnes_unserved": 0
        },
        "objective": "Deliver at least 90% of fictional daily freight demand.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Toy daily trips = floor(9 hours / (roundtrip distance ÷ 55 km/h + 1.25 hours handling)); 8 tons per trip.",
        "limitation": "Not real route-optimization, vehicle safety, road traffic or fleet operating advice.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "first_what_if": {
        "baseline": 31,
        "step": {
          "variable": "vehicles",
          "previous": 3,
          "suggested": 4,
          "change": 1,
          "score_gain_pct": 11,
          "after_score_pct": 42,
          "predicted_success": false
        },
        "note": "Local deterministic what-if comparison, not machine-learning or expert engineering advice."
      },
      "source": "deterministic original local educational toy model; not a real system test"
    },
    {
      "id": "hvac",
      "model": "Building Climate Control",
      "initial_input": {
        "schema": "simworks-lab-input.v1",
        "mode": "hvac",
        "values": {
          "units": 3,
          "insulation": 3,
          "outside": 34
        }
      },
      "initial_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "hvac",
        "variables": {
          "units": 3,
          "insulation": 3,
          "outside": 34
        },
        "results": {
          "comfort": 0,
          "estimated_indoor_c": 31.4,
          "deviation_from_22c": 9.4,
          "correction_strength": 2.6
        },
        "objective": "Reach a fictional indoor comfort band between 19–25°C.",
        "passed": false,
        "score_pct": 34,
        "explanation": "Imaginary model reduces the difference from 22°C using HVAC units and insulation. Real climate dynamics are not represented.",
        "limitation": "Not a validated thermodynamic, refrigeration, HVAC sizing or indoor air-quality design.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "reference_passing_input": {
        "mode": "hvac",
        "values": {
          "units": 9,
          "insulation": 8,
          "outside": 34
        }
      },
      "passing_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "hvac",
        "variables": {
          "units": 9,
          "insulation": 8,
          "outside": 34
        },
        "results": {
          "comfort": 1,
          "estimated_indoor_c": 22,
          "deviation_from_22c": 0,
          "correction_strength": 15.1
        },
        "objective": "Reach a fictional indoor comfort band between 19–25°C.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Imaginary model reduces the difference from 22°C using HVAC units and insulation. Real climate dynamics are not represented.",
        "limitation": "Not a validated thermodynamic, refrigeration, HVAC sizing or indoor air-quality design.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "first_what_if": {
        "baseline": 34,
        "step": {
          "variable": "units",
          "previous": 3,
          "suggested": 4,
          "change": 1,
          "score_gain_pct": 7,
          "after_score_pct": 41,
          "predicted_success": false
        },
        "note": "Local deterministic what-if comparison, not machine-learning or expert engineering advice."
      },
      "source": "deterministic original local educational toy model; not a real system test"
    },
    {
      "id": "factory",
      "model": "Production & Automation Line",
      "initial_input": {
        "schema": "simworks-lab-input.v1",
        "mode": "factory",
        "values": {
          "raw": 150,
          "assembly": 65,
          "shipping": 110
        }
      },
      "initial_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "factory",
        "variables": {
          "raw": 150,
          "assembly": 65,
          "shipping": 110
        },
        "results": {
          "throughput": 65,
          "raw_unused": 85,
          "assembly_idle": 0,
          "shipping_slack": 45,
          "bottleneck": "assembly"
        },
        "objective": "Reach a fictional completed product throughput of 130 units per day.",
        "passed": false,
        "score_pct": 50,
        "explanation": "Toy throughput = min(raw inputs, assembly capacity, outbound shipping capacity); optimize the slowest step first.",
        "limitation": "Does not simulate labor safety, chemical handling, supplier risk, real factory operations or industrial engineering certification.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "reference_passing_input": {
        "mode": "factory",
        "values": {
          "raw": 180,
          "assembly": 180,
          "shipping": 150
        }
      },
      "passing_result": {
        "schema": "simworks-lab-evaluation-v1",
        "mode": "factory",
        "variables": {
          "raw": 180,
          "assembly": 180,
          "shipping": 150
        },
        "results": {
          "throughput": 150,
          "raw_unused": 30,
          "assembly_idle": 30,
          "shipping_slack": 0,
          "bottleneck": "shipping"
        },
        "objective": "Reach a fictional completed product throughput of 130 units per day.",
        "passed": true,
        "score_pct": 100,
        "explanation": "Toy throughput = min(raw inputs, assembly capacity, outbound shipping capacity); optimize the slowest step first.",
        "limitation": "Does not simulate labor safety, chemical handling, supplier risk, real factory operations or industrial engineering certification.",
        "evidence": "deterministic local toy calculation; not tested real infrastructure"
      },
      "first_what_if": {
        "baseline": 50,
        "step": {
          "variable": "assembly",
          "previous": 65,
          "suggested": 75,
          "change": 10,
          "score_gain_pct": 8,
          "after_score_pct": 58,
          "predicted_success": false
        },
        "note": "Local deterministic what-if comparison, not machine-learning or expert engineering advice."
      },
      "source": "deterministic original local educational toy model; not a real system test"
    }
  ]
}