diff --git a/src/operations.jl b/src/operations.jl
index dfc9e02..c44f186 100644
--- a/src/operations.jl
+++ b/src/operations.jl
@@ -72,7 +72,12 @@ function amr_get(amr::JSON3.Object, sys::ODESystem, ::Val{:priors})
                 @info "Invalid distribution type! Distribution type was $(p.distribution.type)"
             end
 
-            dist = EasyModelAnalysis.Distributions.Uniform(p.distribution.parameters.minimum, p.distribution.parameters.maximum)
+            # TODO: figure out why parameters are (sometimes?) String
+            (; minimum, maximum) = p.distribution.parameters
+            minimum = minimum isa String ? parse(minimum, Float64) : minimum
+            maximum = maximum isa String ? parse(maximum, Float64) : maximum
+
+            dist = EasyModelAnalysis.Distributions.Uniform(minimum, maximum)
             paramlist[findfirst(x->x==Symbol(p.id),namelist)] => dist
         end
     end
@@ -211,7 +216,7 @@ function solve(o::Calibrate; callback)
             init_params = Pair.(EasyModelAnalysis.ModelingToolkit.Num.(first.(o.priors)), Statistics.mean.(last.(o.priors)))
             fit = EasyModelAnalysis.datafit(prob, init_params, o.data)
         else
-            
+
             init_params = Pair.(EasyModelAnalysis.ModelingToolkit.Num.(first.(o.priors)), tuple.(minimum.(last.(o.priors)), maximum.(last.(o.priors))))
             fit = EasyModelAnalysis.global_datafit(prob, init_params, o.data)
         end
@@ -249,6 +254,7 @@ function Ensemble{T}(o::OperationRequest) where {T}
         temp.df = o.df
         temp.timespan = o.timespan
         temp.model = model
+        temp.obj = o.obj
         T(temp)
     end
     Ensemble{T}(model_ids, operations, weights, sol_mappings)
diff --git a/test/runtests.jl b/test/runtests.jl
index 3ab2c20..c22cf49 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -175,13 +175,19 @@ end
 
         body = JSON3.write(obj)
 
+        # create ensemble-simulte
         o = OperationRequest()
         o.route = "ensemble-simulate"
         o.obj = JSON3.read(JSON3.write(obj))
         o.models = [amr for _ in 1:4]
         o.timespan = (0, 30)
-
         en = Ensemble{Simulate}(o)
+
+        # create ensemble-calibrate
+        # o = OperationRequest()
+        # o.route = "ensemble-calibrate"
+        # json = JSON3.read(here("examples", "sir_calibrate", "sir_calibrate_request"), Dict)
+        # delete!(json, "modelConfigId")
     end
 
     @testset "Real Calibrate Payload" begin