one last try

slurm/model_run.sbatch

@@ -2,22 +2,26 @@
 
 # Extract command-line arguments
 experiment_id=$1
-iteration=$2
+i=$2
 
 # Find output directory
-format_i=$(printf "iteration_%03d" "$iteration")
+format_i=$(printf "iteration_%03d" "$i")
 member=$(printf "member_%03d" "$SLURM_ARRAY_TASK_ID")
 output=output/$experiment_id/$format_i/$member/model_log.out
 
 julia --project=experiments/$experiment_id -e 'using Conda; Conda.add("scipy=1.8.1", channel="conda-forge"); Conda.add("scikit-learn=1.1.1")'
 
 # Run the forward model
-srun --output=$output julia --color=no --project=experiments/$experiment_id -e "
+srun --output=$output julia --color=no --project=experiments/$experiment_id -e '
     @show Base.active_project(); using Pkg; Pkg.build("CalibrateAtmos"); Pkg.instantiate(;verbose=true)
     import CalibrateAtmos
-    include(\"experiments/$experiment_id/model_interface.jl\")
+    experiment_id = "'$experiment_id'"
+    i = '$i'
+    member = '$SLURM_ARRAY_TASK_ID'
 
-    physical_model = CalibrateAtmos.get_forward_model(Val(:$experiment_id))
-    config = CalibrateAtmos.get_config(physical_model, $SLURM_ARRAY_TASK_ID, $iteration, \"$experiment_id\")
+    include("experiments/$experiment_id/model_interface.jl")
+
+    physical_model = CalibrateAtmos.get_forward_model(Val(Symbol(experiment_id)))
+    config = CalibrateAtmos.get_config(physical_model, member, i, experiment_id)
     CalibrateAtmos.run_forward_model(physical_model, config)
-"
+'