Guyton1972 Pulmonary Fluid Dynamics Lab

{
  "io": {
    "inputs": [
      {
        "name": "integration_step",
        "maps_to": "guyton1972_pulmonary_fluid_dynamics_core.integration_step"
      },
      {
        "name": "parameter_overrides",
        "maps_to": "guyton1972_pulmonary_fluid_dynamics_core.parameter_overrides"
      },
      {
        "name": "initial_conditions",
        "maps_to": "guyton1972_pulmonary_fluid_dynamics_core.initial_conditions"
      }
    ],
    "outputs": [
      {
        "name": "scenario_metadata",
        "maps_to": "guyton1972_pulmonary_fluid_dynamics_scenario.scenario_metadata"
      },
      {
        "name": "state",
        "maps_to": "guyton1972_pulmonary_fluid_dynamics_core.state"
      },
      {
        "name": "run_summary",
        "maps_to": "guyton1972_pulmonary_fluid_dynamics_viz.run_summary"
      }
    ]
  },
  "title": "Guyton1972 Pulmonary Fluid Dynamics Lab",
  "models": [
    {
      "path": "models/scenario",
      "alias": "guyton1972_pulmonary_fluid_dynamics_scenario",
      "parameters": {
        "schedule": {
          "capillary_pressure": {
            "unit": "dimensionless",
            "label": "capillary pressure",
            "active": true,
            "baseline": 29.9941,
            "recovery": 29.9941,
            "challenge": 35.99292,
            "description": "Scenario-controlled capillary pressure value."
          },
          "plasma_oncotic_pressure": {
            "unit": "dimensionless",
            "label": "plasma oncotic pressure",
            "active": false,
            "baseline": 71.9719,
            "recovery": 71.9719,
            "challenge": 71.9719,
            "description": "Scenario-controlled plasma oncotic pressure value."
          }
        },
        "scenario_name": "Pressure-load challenge",
        "baseline_until": 150,
        "challenge_until": 450,
        "scenario_description": "Baseline is followed by a capillary pressure challenge and recovery period."
      }
    },
    {
      "path": "./models/core",
      "alias": "guyton1972_pulmonary_fluid_dynamics_core",
      "parameters": {
        "model_path": "data/MODEL0911091440.xml",
        "integration_step": 1
      }
    },
    {
      "path": "./models/viz",
      "alias": "guyton1972_pulmonary_fluid_dynamics_viz",
      "parameters": {
        "lab_title": "Guyton1972 Pulmonary Fluid Dynamics",
        "lab_question": "Does pulmonary fluid accumulate?",
        "integration_step": 1
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "guyton1972_pulmonary_fluid_dynamics_core.capillary_pressure"
      ],
      "from": "guyton1972_pulmonary_fluid_dynamics_scenario.capillary_pressure"
    },
    {
      "to": [
        "guyton1972_pulmonary_fluid_dynamics_core.plasma_oncotic_pressure"
      ],
      "from": "guyton1972_pulmonary_fluid_dynamics_scenario.plasma_oncotic_pressure"
    },
    {
      "to": [
        "guyton1972_pulmonary_fluid_dynamics_viz.scenario_metadata"
      ],
      "from": "guyton1972_pulmonary_fluid_dynamics_scenario.scenario_metadata"
    },
    {
      "to": [
        "guyton1972_pulmonary_fluid_dynamics_viz.state"
      ],
      "from": "guyton1972_pulmonary_fluid_dynamics_core.state"
    },
    {
      "to": [
        "guyton1972_pulmonary_fluid_dynamics_viz.species_labels"
      ],
      "from": "guyton1972_pulmonary_fluid_dynamics_core.species_labels"
    }
  ],
  "package": "guyton1972-pulmonary-fluid-dynamics",
  "runtime": {
    "duration": 600,
    "initial_inputs": {
      "guyton1972_pulmonary_fluid_dynamics_core": {
        "integration_step": 1,
        "initial_conditions": {
          "payload": {}
        },
        "parameter_overrides": {
          "payload": {}
        }
      }
    },
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "Two-model lab for Guyton1972 Pulmonary Fluid Dynamics: a core SBML simulator wired into a dedicated visualization sub-model that turns the raw state into friendly timeseries and a plain-language summary. This a model from the article: Circulation: overall regulation. It can be used to explore cardiac dynamics and compare response patterns across conditions.",
  "schema_version": "2.0"
}