diff --git a/src/neuron_proofreader/machine_learning/train.py b/src/neuron_proofreader/machine_learning/train.py
index 7798bbb..c18114e 100644
--- a/src/neuron_proofreader/machine_learning/train.py
+++ b/src/neuron_proofreader/machine_learning/train.py
@@ -331,7 +331,7 @@ def check_model_performance(self, stats, epoch):
             True if the model achieved a new best F1 score and was saved.
             False otherwise.
         """
-        if stats["f1"] > self.best_f1 and stats["recall"] > 0.82:
+        if stats["f1"] > self.best_f1 and stats["recall"] > 0.83:
             self.best_f1 = stats["f1"]
             self.save_model(epoch)
             return True
diff --git a/src/neuron_proofreader/merge_proofreading/merge_inference.py b/src/neuron_proofreader/merge_proofreading/merge_inference.py
index 92050bc..fe3ee79 100644
--- a/src/neuron_proofreader/merge_proofreading/merge_inference.py
+++ b/src/neuron_proofreader/merge_proofreading/merge_inference.py
@@ -133,7 +133,7 @@ def filter_with_nms(self, merge_sites, likelihoods):
                     )
                     if iou > 0.35:
                         merge_sites_set.remove(i)
-                        self.node_preds[i] = 1
+                        self.node_preds[i] = 1e-2
 
                 # Populate queue
                 for j in self.dataset.graph.neighbors(i):
@@ -147,6 +147,10 @@ def remove_merge_sites(self, detected_merge_sites):
         pass
 
     # --- Helpers ---
+    def get_detected_sites(self, threshold):
+        nodes = np.where(self.node_preds >= threshold)[0]
+        return [self.dataset.graph.node_xyz[i] for i in nodes]
+
     def save_results(self, output_dir, output_prefix_s3=None):
         # Get predicted merge sites
         nodes = np.where(self.node_preds >= self.threshold)[0]