diff --git a/mvcm/main.py b/mvcm/main.py
index de1d32a5acf1e703af4c3026aec2b5579e9f515a..6f7cd1f7295fc5cd79440560ca10b20e3b99793c 100644
--- a/mvcm/main.py
+++ b/mvcm/main.py
@@ -139,7 +139,13 @@ def main(satellite: str = 'snpp',
         text = f.read()
     thresholds = yml.safe_load(text)
 
-    viirs_data = rd.get_data(satellite, sensor, file_names, hires=True)
+    #################
+    #################
+    use_hires = False
+    #################
+    #################
+    # viirs_data = rd.get_data(satellite, sensor, file_names, hires=True)
+    viirs_data = rd.get_data(satellite, sensor, file_names, hires=use_hires)
 
     sunglint_angle = thresholds['Sun_Glint']['bounds'][3]
     scene_flags = scn.find_scene(viirs_data, sunglint_angle)
@@ -178,13 +184,17 @@ def main(satellite: str = 'snpp',
         for b in _bitlist:
             bit[b] = np.zeros(viirs_data.M11.shape)
 
-        cmin_G1, bit['01'] = MyScene.test_11um('M15hi', cmin_G1)
-        cmin_G1, bit['02'] = MyScene.surface_temperature_test('M15hi', viirs_data, cmin_G1)
+        if use_hires is True:
+            m15_name = 'M15hi'
+        else:
+            m15_name = 'M15'
+        cmin_G2, bit['06'] = MyScene.variability_11um_test(m15_name, cmin_G2)
+        cmin_G1, bit['01'] = MyScene.test_11um(m15_name, cmin_G1)
+        cmin_G1, bit['02'] = MyScene.surface_temperature_test('', viirs_data, cmin_G1)
         cmin_G1, bit['03'] = MyScene.sst_test('M15', 'M16', cmin_G1)
 
         cmin_G2, bit['04'] = MyScene.bt_diff_86_11um('M14-M15', cmin_G2)
         cmin_G2, bit['05'], thr_temp = MyScene.test_11_12um_diff('M15-M16', cmin_G2, thr_temp)
-        cmin_G2, bit['06'] = MyScene.variability_11um_test('M15hi', cmin_G2)
         cmin_G2, bit['07'] = MyScene.bt_difference_11_4um_test_ocean('M15-M12', cmin_G2)
         # # cmin_G2, bit['08'] = MyScene.bt_difference_11_4um_test_land('M15-M12', cmin_G2)
         cmin_G2, bit['09'] = MyScene.oceanic_stratus_11_4um_test('M15-M12', cmin_G2)
@@ -348,6 +358,8 @@ def main(satellite: str = 'snpp',
                   'data': bit['05']},
          'bit10': {'dims': ('x', 'y'),
                    'data': bit['10']},
+         'bit14': {'dims': ('x', 'y'),
+                   'data': bit['14']},
          'bit15': {'dims': ('x', 'y'),
                    'data': bit['15']},
          'thr': {'dims': ('x', 'y'),
@@ -358,15 +370,15 @@ def main(satellite: str = 'snpp',
          #         'data': viirs_data.M15.values},
          # 'b16': {'dims': ('x', 'y'),
          #         'data': viirs_data.M16.values},
-         # 'b15hi': {'dims': ('x', 'y'),
-         #           'data': viirs_data.M15hi.values},
+         'GEMI': {'dims': ('x', 'y'),
+                  'data': viirs_data.GEMI.values},
          }
 
     sf = {k: {'dims': ('x', 'y'), 'data': scene_flags[k]} for k in scene_flags}
     out_dict = d | sf
     ds_out = xr.Dataset.from_dict(out_dict)
-    # ds_out.to_netcdf('test_w_restorals.nc')
-    ds_out.to_netcdf('test_hires.nc')
+    ds_out.to_netcdf('test_w_restorals.nc')
+    # ds_out.to_netcdf('test_hires.nc')
     # np.savez('test_w_restorals', confidence=cmin, scene_flags=scene_flags,
     #          lat=viirs_data.latitude.values, lon=viirs_data.longitude.values)
 
diff --git a/mvcm/restoral.py b/mvcm/restoral.py
index 94a3c85ec7a3c6a45718c7d52cd6efe45878ab51..860acc74a1a1e73e62303b3a997b736a6eef0357 100644
--- a/mvcm/restoral.py
+++ b/mvcm/restoral.py
@@ -190,16 +190,16 @@ class Restoral(object):
 
         idx = np.nonzero((bit == 1) & (self.scene_flag['day'] == 1) & (self.scene_flag['land'] == 1) &
                          (self.scene_flag['snow'] == 0) & (self.scene_flag['ice'] == 0) &
-                         (confidence <= 0.95) & (rad > thr11um[:, :, 0]))
-        confidence[idx] = 0.95
+                         (confidence <= 0.95) & (rad > thr11um[:, :, 2]))
+        confidence[idx] = 1
         idx = np.nonzero((bit == 1) & (self.scene_flag['day'] == 1) & (self.scene_flag['land'] == 1) &
                          (self.scene_flag['snow'] == 0) & (self.scene_flag['ice'] == 0) &
                          (confidence <= 0.95) & (rad > thr11um[:, :, 1]))
         confidence[idx] = 0.96
         idx = np.nonzero((bit == 1) & (self.scene_flag['day'] == 1) & (self.scene_flag['land'] == 1) &
                          (self.scene_flag['snow'] == 0) & (self.scene_flag['ice'] == 0) &
-                         (confidence <= 0.95) & (rad > thr11um[:, :, 2]))
-        confidence[idx] = 1
+                         (confidence <= 0.95) & (rad > thr11um[:, :, 0]))
+        confidence[idx] = 0.95
 
         # Perform additional clear-sky spectral tests
         idx = np.nonzero((bit == 1) & (self.scene_flag['day'] == 1) & (self.scene_flag['land'] == 1) &