diff --git a/cerulean_cloud/cloud_run_orchestrator/handler.py b/cerulean_cloud/cloud_run_orchestrator/handler.py
index 22d22ef8..f273879f 100644
--- a/cerulean_cloud/cloud_run_orchestrator/handler.py
+++ b/cerulean_cloud/cloud_run_orchestrator/handler.py
@@ -408,18 +408,6 @@ async def _orchestrate(
                 20,
                 "offset tiles",
             )
-            print("base_tiles_inference", base_tiles_inference)
-            print("base_tiles_inference[0]", base_tiles_inference[0])
-            print("base_tiles_inference[0].stack", base_tiles_inference[0].stack)
-            print("base_tiles_inference[0].stack[0]", base_tiles_inference[0].stack[0])
-            print(
-                "base_tiles_inference[0].stack[0].dict()",
-                base_tiles_inference[0].stack[0].dict(),
-            )
-            print(
-                "base_tiles_inference[0].stack[0].dict().get(classes)",
-                base_tiles_inference[0].stack[0].dict().get("classes"),
-            )
 
             if model.type == "MASKRCNN":
                 out_fc = geojson.FeatureCollection(
diff --git a/cerulean_cloud/cloud_run_orchestrator/merging.py b/cerulean_cloud/cloud_run_orchestrator/merging.py
index 6e9b9c56..8b36db52 100644
--- a/cerulean_cloud/cloud_run_orchestrator/merging.py
+++ b/cerulean_cloud/cloud_run_orchestrator/merging.py
@@ -59,7 +59,7 @@ def merge_inferences(
             concat_gdf["geometry"] = concat_gdf.buffer(proximity_meters)
 
         # Join the features that intersect with each other
-        joined = gpd.sjoin(concat_gdf, concat_gdf, op="intersects").reset_index()
+        joined = gpd.sjoin(concat_gdf, concat_gdf, predicate="intersects").reset_index()
 
         # Create a graph where each node represents a feature and edges represent overlaps/intersections
         G = nx.from_pandas_edgelist(joined, "index", "index_right")