// ms = microservice
var msList = ThingTemplates["PredictionMicroserver"].GetIncomingDependencies();
var ms = new Object();
logger.warn(msList[0].name);
var listLength = msList.length;

// Determine the prediction microservice
for (var x=0; x < listLength; x++) {
    if (msList[x].type=="Thing") {
    ms = msList[x];
        }
}

var datasetRef = Resources["InfoTableFunctions"].CreateInfoTableFromDataShape({
	infoTableName : "InfoTable",
	dataShapeName : "co2DS"
});

datasetRef.AddRow({
Plant: inputFromMash.Plant,
Type: inputFromMash.Type,
Treatment: inputFromMash.Treatment,
conc: inputFromMash.conc
});

var dataset = Resources["InfoTableFunctions"].CreateInfoTableFromDataShape({
	infoTableName : "InfoTable",
	dataShapeName : "AnalyticsDatasetRef"
});

var newEntry = new Object();
	newEntry.data = datasetRef; 

dataset.AddRow(newEntry);

// result: INFOTABLE dataShape: AnalyticsPredictionScores
var predictiveScores = Things[ms.name].RealtimeScore({
//var predictiveScores = Things["AnalyticsServer_PredictionThing"].RealtimeScore({
	modelUri: "results:/models/" + modelID,
    datasetRef: dataset
});

//var result = predictiveScores.rows[0].modelOutputs.rows[0].fieldValue;

var result = predictiveScores.rows[0].uptake;