diff --git a/.classpath b/.classpath
index c623317c..576b210a 100644
--- a/.classpath
+++ b/.classpath
@@ -6,7 +6,7 @@
 			<attribute name="maven.pomderived" value="true"/>
 		</attributes>
 	</classpathentry>
-	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/Amazon Coretto 21">
+	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/jdk-21.0.2.13-hotspot">
 		<attributes>
 			<attribute name="module" value="true"/>
 			<attribute name="maven.pomderived" value="true"/>
diff --git a/src/dataPlotsFX/layout/TDGraphFX.java b/src/dataPlotsFX/layout/TDGraphFX.java
index 4090f9dd..a0fa1dc5 100644
--- a/src/dataPlotsFX/layout/TDGraphFX.java
+++ b/src/dataPlotsFX/layout/TDGraphFX.java
@@ -1155,7 +1155,7 @@ public class TDGraphFX extends PamBorderPane {
 					base = false;
 					
 					if (!dataInfo.isShowing()) {
-						System.out.println("!dataInfo.isShowing(): " + dataInfo.getDataName());
+						//System.out.println("!dataInfo.isShowing(): " + dataInfo.getDataName());
 						continue;
 					}
 
diff --git a/src/detectionPlotFX/plots/RawDataOrder.java b/src/detectionPlotFX/plots/RawDataOrder.java
index 5627e9ca..718bffed 100644
--- a/src/detectionPlotFX/plots/RawDataOrder.java
+++ b/src/detectionPlotFX/plots/RawDataOrder.java
@@ -186,7 +186,6 @@ public abstract class RawDataOrder {
 		 */
 		public boolean resetForLoad(long dataStart, long dataEnd, float sampleRate, int channel) {
 
-			//			System.out.println("RESET FOR LOAD: ");
 			count=0; 
 			this.dataStart=dataStart;
 			this.dataEnd=dataEnd;
@@ -194,6 +193,8 @@ public abstract class RawDataOrder {
 			this.fftSampleRate=sampleRate;
 
 			int dataFrame=(int) (sampleRate*((dataEnd-dataStart)/1000.));
+			
+//			System.out.println("RESET FOR LOAD: " + dataFrame);
 
 			if (dataFrame>=maxMb){
 				System.err.println("The raw data is way too big"); 
@@ -213,12 +214,13 @@ public abstract class RawDataOrder {
 		}
 
 		private int currentIndex=0; 
+		
 		/***
 		 * Called whenever new raw data is acquired
 		 * @param dataUnit
 		 */
 		private void newRawData(RawDataUnit dataUnit) {
-			//			System.out.println("New raw data " +  count);
+//					System.out.println("New raw data " +  count);
 			//			try{
 			if (PamUtils.hasChannel(dataUnit.getChannelBitmap(), channel)){
 
diff --git a/src/export/wavExport/WavFileExportManager.java b/src/export/wavExport/WavFileExportManager.java
index c830f826..407560a8 100644
--- a/src/export/wavExport/WavFileExportManager.java
+++ b/src/export/wavExport/WavFileExportManager.java
@@ -146,7 +146,7 @@ public class WavFileExportManager implements PamDataUnitExporter  {
 
 		//add correct file type.	
 		currentPath = currentPath + ".wav";
-		currentPath = currentFolder+"/"+currentPath;
+		currentPath = currentFolder + File.pathSeparator + currentPath;
 
 		return currentPath;
 
@@ -197,7 +197,7 @@ public class WavFileExportManager implements PamDataUnitExporter  {
 		if (foundDataUnits!=null) {
 			//check whether the wav file has all data raw data units. 
 			int n =  getNWavDataUnits(foundDataUnits); 
-			hasAllWavClips = n ==  foundDataUnits.getNumDataUnits(); 
+			hasAllWavClips = (n ==  foundDataUnits.getNumDataUnits() && n!=0); //make sure to do a zero check here or raw wav data won't save
 			System.out.println("N raw data units: " + n + " N found data units: " + foundDataUnits.getNumDataUnits()); 
 		}
 
@@ -234,7 +234,6 @@ public class WavFileExportManager implements PamDataUnitExporter  {
 		rawDataBlock.orderOfflineData(new RawObserver(wavWrite, rawDataBlock.getChannelMap()), new RawLoadObserver(wavWrite),
 				start, end, 1, OfflineDataLoading.OFFLINE_DATA_INTERRUPT);
 
-
 		return 0; 
 	}
 
@@ -292,7 +291,7 @@ public class WavFileExportManager implements PamDataUnitExporter  {
 		 * @param dataUnit
 		 */
 		private void newRawData(RawDataUnit dataUnit) {
-			//			System.out.println(" Time millis:   "+ dataUnit.getTimeMilliseconds()+ " channel: " + PamUtils.getSingleChannel(dataUnit.getChannelBitmap()) );
+//						System.out.println("Write wav data: Time millis:   "+ dataUnit.getTimeMilliseconds()+ " channel: " + PamUtils.getSingleChannel(dataUnit.getChannelBitmap()) );
 			if (currentTimeMillis!=dataUnit.getTimeMilliseconds()) {
 				currentTimeMillis=dataUnit.getTimeMilliseconds(); 
 				if (wavArray!=null) {
diff --git a/src/rawDeepLearningClassifier/dlClassification/StandardClassifierModel.java b/src/rawDeepLearningClassifier/dlClassification/StandardClassifierModel.java
index 4ac16849..275df607 100644
--- a/src/rawDeepLearningClassifier/dlClassification/StandardClassifierModel.java
+++ b/src/rawDeepLearningClassifier/dlClassification/StandardClassifierModel.java
@@ -277,7 +277,7 @@ public abstract class StandardClassifierModel implements DLClassiferModel, PamSe
 	}
 	
 	
-	
+	@Deprecated 
 	public static ArrayList<PamWarning> checkSettingsOK(StandardModelParams genericModelParams, DLControl dlControl) {
 
 		// TODO - check if model is null.
diff --git a/src/rawDeepLearningClassifier/dlClassification/animalSpot/StandardModelPane.java b/src/rawDeepLearningClassifier/dlClassification/animalSpot/StandardModelPane.java
index 25c7b283..0cde1e66 100644
--- a/src/rawDeepLearningClassifier/dlClassification/animalSpot/StandardModelPane.java
+++ b/src/rawDeepLearningClassifier/dlClassification/animalSpot/StandardModelPane.java
@@ -18,6 +18,7 @@ import javafx.scene.Node;
 import javafx.scene.control.Label;
 import javafx.scene.control.ProgressIndicator;
 import javafx.scene.control.Spinner;
+import javafx.scene.control.Tooltip;
 import javafx.scene.control.Alert.AlertType;
 import javafx.scene.text.Font;
 import javafx.scene.text.FontWeight;
@@ -191,9 +192,12 @@ public abstract class StandardModelPane extends SettingsPane<StandardModelParams
 
 		gridPane.add(new Label("Min. prediction"), 0, 0);
 		gridPane.add(detectionSpinner = new PamSpinner<Double>(0.0, 1.0, 0.9, 0.1), 1, 0);
-		detectionSpinner.setPrefWidth(80);
+		detectionSpinner.setPrefWidth(70);
 		detectionSpinner.setEditable(true);
 		detectionSpinner.getStyleClass().add(Spinner.STYLE_CLASS_SPLIT_ARROWS_HORIZONTAL);
+		detectionSpinner.setTooltip(new Tooltip("Set the minimum prediciton value for selected classes. If a prediction exceeds this value "
+				+ "a detection will be saved."));
+
 
 		gridPane.add(new Label(""), 2, 0);
 		speciesIDBox = new CheckComboBox<String>(); 
@@ -201,8 +205,9 @@ public abstract class StandardModelPane extends SettingsPane<StandardModelParams
 		//speciesIDBox.setMaxWidth(100);
 //		speciesIDBox.setPrefWidth(100);
 		speciesIDBox.prefHeightProperty().bind(detectionSpinner.heightProperty());
-		speciesIDBox.setMaxWidth(200); //otherwise expands too much if multiple classes selected
-		
+		speciesIDBox.setMaxWidth(150); //otherwise expands too much if multiple classes selected
+		speciesIDBox.setTooltip(new Tooltip("Select output classes to use for binary classification. "
+				+ "If the prediction value of a selected class exceeds the minimum prediction threshold then a detection is saved. "));
 		validator = new PamValidator();
 		
 		final SimpleIntegerProperty checkItemsCount = new SimpleIntegerProperty(); 
@@ -330,7 +335,7 @@ public abstract class StandardModelPane extends SettingsPane<StandardModelParams
 		currParams.threshold = detectionSpinner.getValue(); 
 		//		currParams.useCUDA = useCuda.isSelected(); 
 
-//		System.out.println("StandardModelParams : this.paramsClone.numClasses " + this.paramsClone.numClasses); 
+//		System.out.println("GET PARAMS: StandardModelParams : this.paramsClone.numClasses " + this.paramsClone.numClasses); 
 	
 		
 		boolean[] speciesClass = new boolean[this.paramsClone.numClasses]; 
@@ -363,7 +368,6 @@ public abstract class StandardModelPane extends SettingsPane<StandardModelParams
 //		System.out.println("GET CLASS NAMES: currParams.classNames: " + currParams.classNames + " " +   
 //		(currParams.classNames!=null?  currParams.classNames.length: 0 + " " + currParams.numClasses)); 
 
-
 		currParams.useDefaultSegLen = usedefaultSeg.isSelected(); 
 		
 		//System.out.println("Get CLASS NAMES: currParams.classNames: " + currParams.classNames + " Num classes " + currParams.numClasses); 
diff --git a/src/rawDeepLearningClassifier/dlClassification/genericModel/DLModelWorker.java b/src/rawDeepLearningClassifier/dlClassification/genericModel/DLModelWorker.java
index bc560cdd..495f8f7b 100644
--- a/src/rawDeepLearningClassifier/dlClassification/genericModel/DLModelWorker.java
+++ b/src/rawDeepLearningClassifier/dlClassification/genericModel/DLModelWorker.java
@@ -11,7 +11,6 @@ import org.jamdev.jdl4pam.transforms.DLTransformsFactory;
 import org.jamdev.jdl4pam.utils.DLUtils;
 import org.jamdev.jpamutils.wavFiles.AudioData;
 
-import PamUtils.PamArrayUtils;
 import rawDeepLearningClassifier.DLControl;
 import rawDeepLearningClassifier.dlClassification.animalSpot.StandardModelParams;
 import rawDeepLearningClassifier.segmenter.SegmenterProcess.GroupedRawData;
@@ -126,7 +125,7 @@ public abstract class DLModelWorker<T> {
 			float[] classOut; 
 			for (int i=0; i<transformedDataStack.length; i++) {
 				/**
-				 * This is super weird. Reading the documentation for copeOfRange the index from and index to are enclusive. So 
+				 * This is super weird. Reading the documentation for copyOfRange the index from and index to are inclusive. So 
 				 * to copy the first two elements indexfrom =0 and indexto = 1. But actually it seems that this should be indexfrom =0 and indexto =2. 
 				 * So do not minus one form (i+1)*numclasses. This works but I'm confused as to why?
 				 */
diff --git a/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericModelPane.java b/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericModelPane.java
index 85aeec56..70dc24e2 100644
--- a/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericModelPane.java
+++ b/src/rawDeepLearningClassifier/dlClassification/genericModel/GenericModelPane.java
@@ -75,17 +75,26 @@ public class GenericModelPane extends StandardModelPane  {
 
 		super.setParams(currParams);
 	}
+	
+	@Override
+	public StandardModelParams getParams(StandardModelParams currParams) {
+//		System.out.println("GET GENERIC PARAMS: " + currParams);
+
+		return super.getParams(currParams);
+	}
 
 	@Override
 	public void newModelSelected(File file) {
 		this.setCurrentSelectedFile(file);
-
+		
 		//this.setParamsClone(new GenericModelParams()); 
+		
 		//prep the model with current parameters; 
-		genericDLClassifier.getGenericDLWorker().prepModel(getParams(getParamsClone()), genericDLClassifier.getDLControl());
-		//get the model transforms calculated from the model by SoundSpoyWorker and apply them to our temporary paramters clone. 
-		//getParamsClone().dlTransfroms = this.genericDLClassifier.getGenericDLWorker().getModelTransforms(); 
-		///set the advanced pane parameters. 
+		
+//		genericDLClassifier.getGenericDLWorker().prepModel(getParams(getParamsClone()), genericDLClassifier.getDLControl());
+		//do not have getParam here as it resets some of the setting before set params has been called.
+		genericDLClassifier.getGenericDLWorker().prepModel(getParamsClone(), genericDLClassifier.getDLControl());
+
 
 		//now new parameters have been set in the prepModel functions so need to set new params now. 
 		getAdvSettingsPane().setParams(getParamsClone());
diff --git a/src/rawDeepLearningClassifier/layoutFX/DLSettingsPane.java b/src/rawDeepLearningClassifier/layoutFX/DLSettingsPane.java
index 15ebc123..c4b89172 100644
--- a/src/rawDeepLearningClassifier/layoutFX/DLSettingsPane.java
+++ b/src/rawDeepLearningClassifier/layoutFX/DLSettingsPane.java
@@ -454,6 +454,7 @@ public class DLSettingsPane  extends SettingsPane<RawDLParams>{
 		//		}
 
 		currParams.useDataSelector = dataSelectorCheckBox.isSelected(); 
+		
 		if (dlControl.getDataSelector()!=null) {
 			dlControl.getDataSelector().getDialogPaneFX().getParams(true); 
 		}