diff --git a/configs/experiment/ml/test_linear_virchow2_lbfgs.yaml b/configs/experiment/ml/test_linear_virchow2_lbfgs.yaml
index 0d60bd1..bfb9804 100644
--- a/configs/experiment/ml/test_linear_virchow2_lbfgs.yaml
+++ b/configs/experiment/ml/test_linear_virchow2_lbfgs.yaml
@@ -31,6 +31,7 @@ trainer:
       _target_: ml.callbacks.TiffPredictionMapWriter
       slides_uri: runs:/${dataset.mlflow_artifacts.tiling_run_id}/test_split/slides.parquet
       artifact_path: prediction_maps_tiff
+      background_value: 0
       draw_region: central_stride
       slide_selection: all
       max_slides: null
diff --git a/configs/ml/trainer/final_with_prediction_maps.yaml b/configs/ml/trainer/final_with_prediction_maps.yaml
index c744d28..ab6aa9d 100644
--- a/configs/ml/trainer/final_with_prediction_maps.yaml
+++ b/configs/ml/trainer/final_with_prediction_maps.yaml
@@ -25,6 +25,7 @@ trainer:
       _target_: ml.callbacks.TiffPredictionMapWriter
       slides_uri: runs:/${dataset.mlflow_artifacts.tiling_run_id}/test_split/slides.parquet
       artifact_path: prediction_maps_tiff
+      background_value: 0
       draw_region: central_stride
       slide_selection: all
       max_slides: null
diff --git a/ml/callbacks/tiff_prediction_map_writer.py b/ml/callbacks/tiff_prediction_map_writer.py
index e6a00b3..c8834ec 100644
--- a/ml/callbacks/tiff_prediction_map_writer.py
+++ b/ml/callbacks/tiff_prediction_map_writer.py
@@ -1,7 +1,6 @@
 """Write tile predictions as WSI-aligned BigTIFF masks."""
 
 from collections.abc import Mapping
-from hashlib import blake2b
 from pathlib import Path
 from re import sub
 from tempfile import TemporaryDirectory
@@ -28,7 +27,7 @@ def __init__(
         self,
         slides_uri: str,
         artifact_path: str = "prediction_maps_tiff",
-        background_value: int = 255,
+        background_value: int = 0,
         draw_region: str = "central_stride",
         max_slides: int | None = None,
         slide_selection: str = "all",
@@ -518,10 +517,7 @@ def _safe_filename(value: str) -> str:
 
 
 def _slide_prediction_filename(path: str | Path) -> str:
-    path_str = str(path)
-    stem = Path(path_str).stem
-    digest = blake2b(path_str.encode("utf-8"), digest_size=4).hexdigest()
-    return _safe_filename(f"{stem}-{digest}.tiff")
+    return Path(path).with_suffix(".tiff").name
 
 
 def _spread_lut(n_classes: int) -> np.ndarray: