diff --git a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java
index 1628fca39..ddf1b3049 100644
--- a/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java
+++ b/dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java
@@ -8,6 +8,7 @@ import java.util.List;
 import java.util.Optional;
 import java.util.stream.Collectors;
 
+import eu.dnetlib.dhp.schema.common.ModelSupport;
 import org.apache.commons.io.IOUtils;
 import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos;
 import org.apache.hadoop.io.Text;
@@ -115,7 +116,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
 					"where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'")
 			.as(Encoders.bean(PreparedResult.class));
 
-		Dataset<BipScore> tmp = bipScores
+		bipScores
 			.joinWith(
 				preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")),
 				"inner")
@@ -123,9 +124,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
 				BipScore ret = value._1();
 				ret.setId(value._2().getId());
 				return ret;
-			}, Encoders.bean(BipScore.class));
-
-		tmp
+			}, Encoders.bean(BipScore.class))
 			.groupByKey((MapFunction<BipScore, String>) value -> value.getId(), Encoders.STRING())
 			.mapGroups((MapGroupsFunction<String, BipScore, I>) (k, it) -> {
 				Result ret = inputClazz.newInstance();
@@ -143,18 +142,9 @@ public class SparkAtomicActionScoreJob implements Serializable {
 				aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
 					new Text(OBJECT_MAPPER.writeValueAsString(aa))))
 			.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
-		;
+
 	}
 
-	public static Dataset<BipScore> getBipScoreDataset(Dataset<BipDeserialize> bipdeserialized) {
-		return bipdeserialized
-			.flatMap((FlatMapFunction<BipDeserialize, BipScore>) bip -> bip.keySet().stream().map(key -> {
-				BipScore bs = new BipScore();
-				bs.setId(key);
-				bs.setScoreList(bip.get(key));
-				return bs;
-			}).collect(Collectors.toList()).iterator(), Encoders.bean(BipScore.class));
-	}
 
 	private static List<Measure> getMeasure(BipScore value) {
 		return value