```json
{
  "sym_variables": [
    ("x0", "hours worked by Paul"),
    ("x1", "hours worked by John"),
    ("x2", "hours worked by Bill"),
    ("x3", "hours worked by Ringo"),
    ("x4", "hours worked by Dale"),
    ("x5", "hours worked by Laura")
  ],
  "objective_function": "5.27 * x0 + 8.59 * x1 + 4.3 * x2 + 9.91 * x3 + 5.54 * x4 + 8.3 * x5",
  "constraints": [
    "1*x0 + 6*x4 + 4*x5 >= 30",
    "2*x1 + 1*x2 + 3*x3 >= 30",
    "1*x0 + 2*x1 + 4*x5 >= 30",
    "2*x1 + 6*x4 + 4*x5 >= 30",
    "1*x0 + 6*x4 + 4*x5 >= 22",
    "2*x1 + 1*x2 + 3*x3 >= 22",
    "1*x0 + 2*x1 + 4*x5 >= 22",
    "2*x1 + 6*x4 + 4*x5 >= 22",
    "1*x0 + 6*x4 + 4*x5 >= 20",
    "2*x1 + 1*x2 + 3*x3 >= 20",
    "1*x0 + 2*x1 + 4*x5 >= 20",
    "2*x1 + 6*x4 + 4*x5 >= 20",
    "1*x0 + 6*x4 + 4*x5 >= 29",
    "2*x1 + 1*x2 + 3*x3 >= 29",
    "1*x0 + 2*x1 + 4*x5 >= 29",
    "2*x1 + 6*x4 + 4*x5 >= 29",
    "5*x0 - 5*x3 - 9*x5 >= 0",
    "7*x1 + 6*x2 <= 133",
    "6*x2 + 5*x4 <= 50",
    "6*x0 + 5*x3 <= 52",
    "5*x3 + 5*x4 <= 227",
    "5*x3 + 5*x5 <= 46",
    "7*x1 + 5*x5 <= 117",
    "6*x0 + 5*x5 <= 185",
    "6*x0 + 7*x1 + 5*x3 <= 130",
    "6*x0 + 5*x3 + 5*x5 <= 212",
    "6*x2 + 5*x4 + 5*x5 <= 60",
    "7*x1 + 6*x2 + 5*x5 <= 43",
    "6*x0 + 7*x1 + 5*x4 <= 60",
    "7*x1 + 5*x3 + 5*x5 <= 178",
    "6*x0 + 7*x1 + 6*x2 + 5*x3 + 5*x4 + 5*x5 <= 178",
    "1*x0 + 6*x4 <= 162",
    "3*x3 + 6*x4 <= 40",
    "6*x4 + 4*x5 <= 150",
    "2*x1 + 4*x5 <= 188",
    "1*x0 + 2*x1 + 1*x2 <= 97",
    "1*x0 + 1*x2 + 6*x4 <= 135",
    "1*x0 + 1*x2 + 3*x3 <= 70",
    "1*x2 + 3*x3 + 6*x4 <= 52",
    "1*x0 + 2*x1 + 1*x2 + 3*x3 + 6*x4 + 4*x5 <= 52",
    "6*x0 + 7*x1 + 6*x2 + 5*x3 + 5*x4 + 5*x5 <= 235",  // Organization score constraint
    "1*x0 + 2*x1 + 1*x2 + 3*x3 + 6*x4 + 4*x5 <= 190" // Dollar cost constraint
  ]
}
```

```python
import gurobipy as gp

# Create a new model
m = gp.Model("resource_allocation")

# Create variables
paul = m.addVar(vtype=gp.GRB.INTEGER, name="paul")
john = m.addVar(vtype=gp.GRB.CONTINUOUS, name="john")
bill = m.addVar(vtype=gp.GRB.CONTINUOUS, name="bill")
ringo = m.addVar(vtype=gp.GRB.CONTINUOUS, name="ringo")
dale = m.addVar(vtype=gp.GRB.INTEGER, name="dale")
laura = m.addVar(vtype=gp.GRB.CONTINUOUS, name="laura")


# Set objective function
m.setObjective(5.27 * paul + 8.59 * john + 4.3 * bill + 9.91 * ringo + 5.54 * dale + 8.3 * laura, gp.GRB.MAXIMIZE)

# Add constraints
m.addConstr(paul + 6 * dale + 4 * laura >= 30)
m.addConstr(2 * john + bill + 3 * ringo >= 30)
m.addConstr(paul + 2 * john + 4 * laura >= 30)
m.addConstr(2 * john + 6 * dale + 4 * laura >= 30)

m.addConstr(paul + 6 * dale + 4 * laura >= 22)
m.addConstr(2 * john + bill + 3 * ringo >= 22)
m.addConstr(paul + 2 * john + 4 * laura >= 22)
m.addConstr(2 * john + 6 * dale + 4 * laura >= 22)

m.addConstr(paul + 6 * dale + 4 * laura >= 20)
m.addConstr(2 * john + bill + 3 * ringo >= 20)
m.addConstr(paul + 2 * john + 4 * laura >= 20)
m.addConstr(2 * john + 6 * dale + 4 * laura >= 20)

m.addConstr(paul + 6 * dale + 4 * laura >= 29)
m.addConstr(2 * john + bill + 3 * ringo >= 29)
m.addConstr(paul + 2 * john + 4 * laura >= 29)
m.addConstr(2 * john + 6 * dale + 4 * laura >= 29)


m.addConstr(5 * paul - 5 * ringo - 9 * laura >= 0)
m.addConstr(7 * john + 6 * bill <= 133)
m.addConstr(6 * bill + 5 * dale <= 50)
m.addConstr(6 * paul + 5 * ringo <= 52)
m.addConstr(5 * ringo + 5 * dale <= 227)
m.addConstr(5 * ringo + 5 * laura <= 46)
m.addConstr(7 * john + 5 * laura <= 117)
m.addConstr(6 * paul + 5 * laura <= 185)
m.addConstr(6 * paul + 7 * john + 5 * ringo <= 130)
m.addConstr(6 * paul + 5 * ringo + 5 * laura <= 212)
m.addConstr(6 * bill + 5 * dale + 5 * laura <= 60)
m.addConstr(7 * john + 6 * bill + 5 * laura <= 43)
m.addConstr(6 * paul + 7 * john + 5 * dale <= 60)
m.addConstr(7 * john + 5 * ringo + 5 * laura <= 178)
m.addConstr(6 * paul + 7 * john + 6 * bill + 5 * ringo + 5 * dale + 5 * laura <= 178)

m.addConstr(paul + 6 * dale <= 162)
m.addConstr(3 * ringo + 6 * dale <= 40)
m.addConstr(6 * dale + 4 * laura <= 150)
m.addConstr(2 * john + 4 * laura <= 188)
m.addConstr(paul + 2 * john + bill <= 97)
m.addConstr(paul + bill + 6 * dale <= 135)
m.addConstr(paul + bill + 3 * ringo <= 70)
m.addConstr(bill + 3 * ringo + 6 * dale <= 52)
m.addConstr(paul + 2 * john + bill + 3 * ringo + 6 * dale + 4 * laura <= 52)

m.addConstr(6 * paul + 7 * john + 6 * bill + 5 * ringo + 5 * dale + 5 * laura <= 235)
m.addConstr(paul + 2 * john + bill + 3 * ringo + 6 * dale + 4 * laura <= 190)


# Optimize model
m.optimize()

# Print results
if m.status == gp.GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    for v in m.getVars():
        print('%s %g' % (v.varName, v.x))
elif m.status == gp.GRB.INFEASIBLE:
    print("The model is infeasible.")
else:
    print("Optimization ended with status %d" % m.status)

```