before and after calibration checks out

tiger.py

@@ -126,7 +126,7 @@ def process_data(transcript_seq: str):
 def calibrate_predictions(predictions: np.array, num_mismatches: np.array, params: pd.DataFrame = None):
     if params is None:
         params = pd.read_pickle('calibration_params.pkl')
-    correction = np.squeeze(params.set_index('num_mismatches').loc[num_mismatches].to_numpy())
+    correction = np.squeeze(params.set_index('num_mismatches').loc[num_mismatches, 'slope'].to_numpy())
     return correction * predictions