-
Notifications
You must be signed in to change notification settings - Fork 0
/
FSKLab.postman_collection.json
347 lines (347 loc) · 35.9 KB
/
FSKLab.postman_collection.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
{
"info": {
"_postman_id": "684f42d1-2ece-4806-86cb-96bf0e5cb4ef",
"name": "FSKLab",
"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
},
"item": [
{
"name": "Capture",
"item": [
{
"name": "capturePredictiveModel",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"@context\": [\n \"https://gs1.github.io/EPCIS/epcis-context.jsonld\",\n {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n }\n ],\n \"id\": \"_:document1\",\n \"isA\": \"EPCISDocument\",\n \"schemaVersion\": \"2.0\",\n \"creationDate\": \"2021-03-03T11:30:47.0Z\",\n \"epcisBody\": {\n \"eventList\": [\n {\n \"isA\": \"ObjectEvent\",\n \"action\": \"OBSERVE\",\n \"bizStep\": \"urn:epcglobal:cbv:bizstep:collecting\",\n \"disposition\": \"urn:epcglobal:cbv:disp:in_transit\",\n \"epcList\": [\n \"urn:epc:id:sgtin:0614141.107346.2017\",\n \"urn:epc:id:sgtin:0614141.107346.2018\"\n ],\n \"eventTime\": \"2021-03-14T20:33:31.116000-06:00\",\n \"eventTimeZoneOffset\": \"-06:00\",\n \"readPoint\": {\n \"id\": \"urn:epc:id:sgln:0614141.07346.1234\"\n },\n \"bizTransactionList\": [\n {\n \"type\": \"urn:epcglobal:cbv:btt:po\",\n \"bizTransaction\": \"http://transaction.acme.com/po/12345678\"\n }\n ],\n \"fsk:model\": {\n \"fsk:modelType\": \"PredictiveModel\",\n \"fsk:generalInformation\": {\n \"fsk:name\": \"Milk\",\n \"fsk:identifier\": \"Color\",\n \"fsk:creationDate\": \"2021-03-03T11:30:47.0Z\",\n \"fsk:rights\": \"Given\",\n \"fsk:reference\": [\n {\n \"fsk:isReferenceDescription\": \"true\",\n \"fsk:doi\": \"DOI\",\n \"fsk:title\": \"Dabur\"\n }\n ],\n \"fsk:languageWrittenIn\": \"R\"\n },\n \"fsk:scope\": {\n \"fsk:product\": [\n {\n \"fsk:name\": \"food product\",\n \"fsk:unit\": \"Child\"\n }\n ],\n \"fsk:hazard\": [\n {\n \"fsk:name\": \"Sugar\"\n }\n ]\n },\n \"fsk:dataBackground\": {\n \"fsk:study\": {\n \"fsk:title\": \"Title of study\"\n }\n },\n \"fsk:modelMath\": {\n \"fsk:parameter\": [\n {\n \"fsk:id\": \"UFGH456\",\n \"fsk:classification\": \"CONSTANT\",\n \"fsk:unit\": \"BeeProd\",\n \"fsk:name\": \"Queen\",\n \"fsk:dataType\": \"INTEGER\"\n }\n ]\n }\n }\n }\n ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/capture",
"host": [
"{{url}}"
],
"path": [
"capture"
]
}
},
"response": []
},
{
"name": "captureExposureModel",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"@context\": [\n \"https://gs1.github.io/EPCIS/epcis-context.jsonld\",\n {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n }\n ],\n \"id\": \"_:document1\",\n \"isA\": \"EPCISDocument\",\n \"schemaVersion\": 2.0,\n \"creationDate\": \"2021-03-03T11:30:47.0Z\",\n \"format\": \"application/ld+json\",\n \"epcisBody\": {\n \"eventList\": [\n {\n \"isA\": \"ObjectEvent\",\n \"action\": \"OBSERVE\",\n \"bizStep\": \"urn:epcglobal:cbv:bizstep:collecting\",\n \"disposition\": \"urn:epcglobal:cbv:disp:in_transit\",\n \"epcList\": [\n \"urn:epc:id:sgtin:0614141.107346.2017\",\n \"urn:epc:id:sgtin:0614141.107346.2018\"\n ],\n \"eventTime\": \"2021-03-10T20:33:31.116000-06:00\",\n \"eventTimeZoneOffset\": \"-06:00\",\n \"readPoint\": {\n \"id\": \"urn:epc:id:sgln:0614141.07346.1234\"\n },\n \"bizTransactionList\": [\n {\n \"type\": \"urn:epcglobal:cbv:btt:po\",\n \"bizTransaction\": \"http://transaction.acme.com/po/12345678\"\n }\n ],\n \"fsk:model\": {\n \"fsk:modelType\": \"ExposureModel\",\n \"fsk:generalInformation\": {\n \"fsk:name\": \"Mercury\",\n \"fsk:identifier\": \"Radiation\",\n \"fsk:creationDate\": \"2021-03-03T11:30:47.0Z\",\n \"fsk:rights\": \"Given\",\n \"fsk:reference\": [\n {\n \"fsk:isReferenceDescription\": \"true\",\n \"fsk:doi\": \"DOI\",\n \"fsk:title\": \"UCIL\"\n }\n ],\n \"fsk:languageWrittenIn\": \"MatLab\"\n },\n \"fsk:scope\": {\n \"fsk:product\": [\n {\n \"fsk:name\": \"food product\",\n \"fsk:unit\": \"Everyone\"\n }\n ],\n \"fsk:hazard\": [\n {\n \"fsk:name\": \"Hg\"\n }\n ],\n \"fsk:populationGroup\": [\n {\n \"fsk:name\": \"Adult\"\n }\n ]\n },\n \"fsk:dataBackground\": {\n \"fsk:study\": {\n \"fsk:title\": \"Title of study\"\n }\n },\n \"fsk:modelMath\": {\n \"fsk:parameter\": [\n {\n \"fsk:id\": \"UFGH456\",\n \"fsk:classification\": \"CONSTANT\",\n \"fsk:unit\": \"BeeProd\",\n \"fsk:name\": \"Queen\",\n \"fsk:dataType\": \"INTEGER\"\n }\n ],\n \"fsk:exposure\": [\n {\n \"fsk:type\": \"Harmful Radiation\"\n }\n ]\n }\n }\n }\n ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/capture",
"host": [
"{{url}}"
],
"path": [
"capture"
]
}
},
"response": []
},
{
"name": "captureSensorEvent",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"@context\": [\n \"https://gs1.github.io/EPCIS/epcis-context.jsonld\",\n {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n }\n ],\n \"id\": \"_:document1\",\n \"isA\": \"EPCISDocument\",\n \"schemaVersion\": 2.0,\n \"creationDate\": \"2021-03-03T11:30:47.0Z\",\n \"format\": \"application/ld+json\",\n \"epcisBody\": {\n \"eventList\": [\n {\n \"isA\": \"ObjectEvent\",\n \"action\": \"OBSERVE\",\n \"bizStep\": \"urn:epcglobal:cbv:bizstep:inspecting\",\n \"epcList\": [\n \"urn:epc:id:sgtin:4012345.011111.9876\"\n ],\n \"eventTime\": \"2019-04-02T15:00:00.000+01:00\",\n \"eventTimeZoneOffset\": \"+01:00\",\n \"readPoint\": {\n \"id\": \"urn:epc:id:sgln:4012345.00005.0\"\n },\n \"sensorElementList\": [\n {\n \"sensorMetaData\": {\n \"time\": \"2019-04-02T14:05:00.000+01:00\"\n },\n \"sensorReport\": [\n {\n \"type\": \"gs1:Temperature\",\n \"value\": 26.0,\n \"uom\": \"CEL\"\n },\n {\n \"type\": \"gs1:Humidity\",\n \"value\": 12.1,\n \"uom\": \"A93\"\n },\n {\n \"type\": \"gs1:Speed\",\n \"value\": 160.0,\n \"uom\": \"KMH\"\n },\n {\n \"type\": \"gs1:Illuminance\",\n \"value\": 800.0,\n \"uom\": \"LUX\"\n }\n ]\n }\n ]\n }\n ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/capture",
"host": [
"{{url}}"
],
"path": [
"capture"
]
}
},
"response": []
},
{
"name": "capturePredictiveModel(Bug)",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"@context\" : [ \"https://gs1.github.io/EPCIS/epcis-context.jsonld\", {\n \"fsk\" : \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n } ],\n \"id\" : \"_:document1\",\n \"isA\" : \"EPCISDocument\",\n \"schemaVersion\" : \"2.0\",\n \"creationDate\" : \"2021-03-03T11:30:47.0Z\",\n \"format\" : \"application/ld+json\",\n \"epcisBody\" : {\n \"eventList\" : [ {\n \"isA\" : \"ObjectEvent\",\n \"action\" : \"OBSERVE\",\n \"bizStep\" : \"urn:epcglobal:cbv:bizstep:collecting\",\n \"disposition\" : \"urn:epcglobal:cbv:disp:in_transit\",\n \"epcList\" : [ \"urn:epc:id:sgtin:0614141.107346.2017\", \"urn:epc:id:sgtin:0614141.107346.2018\" ],\n \"eventTime\" : \"2021-06-14T14:53:11.38767+02:00\",\n \"eventTimeZoneOffset\" : \"-06:00\",\n \"readPoint\" : {\n \"id\" : \"urn:epc:id:sgln:0614141.07346.1234\"\n },\n \"bizTransactionList\" : [ {\n \"type\" : \"urn:epcglobal:cbv:btt:po\",\n \"bizTransaction\" : \"http://transaction.acme.com/po/12345678\"\n } ],\n \"fsk:model\" : {\n \"fsk:modelType\" : \"PredictiveModel\",\n \"fsk:generalInformation\" : {\n \"fsk:name\" : \"Predictive Toymodel\",\n \"fsk:source\" : \"UNPUBLISHED STUDIES (EXPERIMENTS-OBSERVATIONS)\",\n \"fsk:identifier\" : \"Toy_Model_predictive_01\",\n \"fsk:author\" : [ {\n \"fsk:title\" : \"Prof\",\n \"fsk:familyName\" : \"Mosley\",\n \"fsk:givenName\" : \"Steve\",\n \"fsk:email\" : \"mosley@nyu.org\",\n \"fsk:telephone\" : \"080 12345566\",\n \"fsk:streetAddress\" : \"Berliner Strasse 2\",\n \"fsk:country\" : \"Saint Vincent and the Grenadines\",\n \"fsk:zipCode\" : \"12345\",\n \"fsk:region\" : \"Greater New Yorker Area\",\n \"fsk:organization\" : \"NYU\"\n } ],\n \"fsk:creator\" : [ {\n \"fsk:title\" : \"Dr.\",\n \"fsk:familyName\" : \"Romanov\",\n \"fsk:givenName\" : \"Natalia\",\n \"fsk:email\" : \"black_widow@marvel.com\",\n \"fsk:telephone\" : \"030 12345\",\n \"fsk:streetAddress\" : \"Nahmitzer Damm 40\",\n \"fsk:country\" : \"Russian Federation\",\n \"fsk:zipCode\" : \"14123\",\n \"fsk:region\" : \"Berlin-Brandenburg\",\n \"fsk:organization\" : \"SHIELD\"\n }, {\n \"fsk:title\" : \"Mr.\",\n \"fsk:familyName\" : \"Parker\",\n \"fsk:givenName\" : \"Peter\",\n \"fsk:email\" : \"peter.parker@parker.com\",\n \"fsk:telephone\" : \"03301 1369158\",\n \"fsk:streetAddress\" : \"Am Kleinen Wannsee 16\",\n \"fsk:country\" : \"United States\",\n \"fsk:zipCode\" : \"16515\",\n \"fsk:region\" : \"Brandenburg\",\n \"fsk:organization\" : \"Parker Industries\"\n } ],\n \"fsk:rights\" : \"Academic Free License 3.0\",\n \"fsk:availability\" : \"Other\",\n \"fsk:url\" : \"https://url-for-resource-location.bfr.bund.de\",\n \"fsk:format\" : \".fskx\",\n \"fsk:reference\" : [ {\n \"fsk:title\" : \"Quantitative Risk Assessment of Norovirus Transmission in Food Establishments: Evaluating the Impact of Intervention Strategies and Food Employee Behavior on the Risk Associated with Norovirus in Foods\"\n }, {\n \"fsk:title\" : \"Norwalk virus: How infectious is it?\"\n }, {\n \"fsk:title\" : \"Dose Response Models For Infectious Gastroenteritis\"\n } ],\n \"fsk:language\" : \"German\",\n \"fsk:software\" : \"FSK-Lab\",\n \"fsk:languageWrittenIn\" : \"R 3\",\n \"fsk:status\" : \"Uncurated\",\n \"fsk:objective\" : \"Objective is to test, whether all metadata are displayed correctly\",\n \"fsk:description\" : \"description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in the social sciences (such as economics, psychology, sociology, political science).\"\n },\n \"fsk:scope\" : {\n \"fsk:product\" : [ {\n \"fsk:name\" : \"Lettuce\",\n \"fsk:description\" : \"fresh german lettuce\",\n \"fsk:unit\" : \"g\",\n \"fsk:originCountry\" : \"Germany\",\n \"fsk:originArea\" : \"Aachen, Kreisfreie Stadt\",\n \"fsk:fisheriesArea\" : \"Arctic Sea\",\n \"fsk:productionDate\" : \"2011-10-30\",\n \"fsk:expiryDate\" : \"2011-12-01\"\n }, {\n \"fsk:name\" : \"Tomatoes\",\n \"fsk:description\" : \"not so fresh\",\n \"fsk:unit\" : \"g\",\n \"fsk:originCountry\" : \"Spain\",\n \"fsk:originArea\" : \"Lazio\",\n \"fsk:fisheriesArea\" : \"Mediterranean and Black Sea\",\n \"fsk:productionDate\" : \"2012-12-03\",\n \"fsk:expiryDate\" : \"2013-02-01\"\n }, {\n \"fsk:name\" : \"Meat, preparations of meat, offals, blood, animal fats; fresh, chilled or frozen, salted, in brine, dried or smoked or processed as flours or meals; other processed products such as sausages and food preparations based on these\",\n \"fsk:description\" : \"pretty much any processed meat product imaginable\",\n \"fsk:unit\" : \"g\",\n \"fsk:originCountry\" : \"United Kingdom\",\n \"fsk:originArea\" : \"East Anglia\",\n \"fsk:fisheriesArea\" : \"Atlantic Ocean\",\n \"fsk:productionDate\" : \"2013-05-15\",\n \"fsk:expiryDate\" : \"2014-05-01\"\n } ],\n \"fsk:hazard\" : [ {\n \"fsk:type\" : \"Organic contaminants\",\n \"fsk:name\" : \"norovirus (Norwalk-like virus)\",\n \"fsk:description\" : \"novovirus is described as nast and hard to get rid of\",\n \"fsk:unit\" : \"CFU\",\n \"fsk:adverseEffect\" : \"morbitity\",\n \"fsk:sourceOfContamination\" : \"sewage\",\n \"fsk:maximumResidueLimit\" : \"0.01 mg/kg\",\n \"fsk:noObservedAdverseAffectLevel\" : \"10 mg\",\n \"fsk:lowestObservedAdverseAffectLevel\" : \"40 mg\",\n \"fsk:acceptableOperatorsExposureLevel\" : \"50 mg\",\n \"fsk:acuteReferenceDose\" : \"80 mg\",\n \"fsk:acceptableDailyIntake\" : \"20 mg\"\n }, {\n \"fsk:type\" : \"Microorganisms\",\n \"fsk:name\" : \"Salmonella Daarle\",\n \"fsk:description\" : \"we dont know how that got into the tomatoes but it is there\",\n \"fsk:unit\" : \"Fill\",\n \"fsk:adverseEffect\" : \"mortality\",\n \"fsk:sourceOfContamination\" : \"air\",\n \"fsk:maximumResidueLimit\" : \"0.11 mg/kg\",\n \"fsk:noObservedAdverseAffectLevel\" : \"5 mg\",\n \"fsk:lowestObservedAdverseAffectLevel\" : \"50 mg\",\n \"fsk:acceptableOperatorsExposureLevel\" : \"80 mg\",\n \"fsk:acuteReferenceDose\" : \"100 mg\",\n \"fsk:acceptableDailyIntake\" : \"30 mg\"\n }, {\n \"fsk:type\" : \"Food additives\",\n \"fsk:name\" : \"Monoammonium glutamate\",\n \"fsk:description\" : \"tastes great but bad for your beach bod\",\n \"fsk:unit\" : \"fg/mL\",\n \"fsk:adverseEffect\" : \"obesity\",\n \"fsk:sourceOfContamination\" : \"rodents\",\n \"fsk:benchmarkDose\" : \"123.12\",\n \"fsk:maximumResidueLimit\" : \"0.25 - 0.4 mg/kg\",\n \"fsk:noObservedAdverseAffectLevel\" : \"1 mg\",\n \"fsk:lowestObservedAdverseAffectLevel\" : \"100 mg\",\n \"fsk:acceptableOperatorsExposureLevel\" : \"120 mg\",\n \"fsk:acuteReferenceDose\" : \"140 mg\",\n \"fsk:acceptableDailyIntake\" : \"90 mg\"\n } ],\n \"fsk:generalComment\" : \"(General Comment) The Scope of this model is universal\",\n \"fsk:temporalInformation\" : \"s1990 - 2000\"\n },\n \"fsk:dataBackground\" : {\n \"fsk:study\" : {\n \"fsk:identifier\" : \"Study_Generic_Sheet_1\",\n \"fsk:title\" : \"Assessment of integrity of metadata in FKS Lab and associated services\",\n \"fsk:description\" : \"This Study will show, wether the FSK Lab will correctly read and run a generic and fully annotated model\",\n \"fsk:designType\" : \"Trial and Error\",\n \"fsk:assayMeasurementType\" : \"It works or it doesn't\",\n \"fsk:assayTechnologyType\" : \"QPCR\",\n \"fsk:assayTechnologyPlatform\" : \"Orbital Platform\",\n \"fsk:accreditationProcedureForTheAssayTechnology\" : \"Internally validated\",\n \"fsk:protocolName\" : \"Extraction Protocol Of FSK\",\n \"fsk:protocolType\" : \"Extraction Protocol\",\n \"fsk:protocolDescription\" : \"The protocol is definitly not made up\",\n \"fsk:protocolURI\" : \"https://url-for-study-protocol-location.bfr.bund.de\",\n \"fsk:protocolVersion\" : \"version 1.0\",\n \"fsk:protocolParametersName\" : \"Parameter 1\",\n \"fsk:protocolComponentsName\" : \"windows pc\",\n \"fsk:protocolComponentsType\" : \"hardware\"\n },\n \"fsk:laboratory\" : [ {\n \"fsk:name\" : \"National High Magnetic Field Laboratory\",\n \"fsk:country\" : \"United States\"\n }, {\n \"fsk:name\" : \"Everest Medical Laboratory\",\n \"fsk:country\" : \"India\"\n }, {\n \"fsk:name\" : \"RimeTimeLab\",\n \"fsk:country\" : \"Germany\"\n } ],\n \"fsk:assay\" : [ {\n \"fsk:name\" : \"Bradford protein assay\",\n \"fsk:description\" : \"spectroscopic analytical procedure used to measure the concentration of protein in a solution. It is subjective, i.e., dependent on the amino acid composition of the measured protein\",\n \"fsk:detectionLimit\" : \"30-300\",\n \"fsk:quantificationLimit\" : \"5000 - 8000\",\n \"fsk:contaminationRange\" : \"500-4000\"\n }, {\n \"fsk:name\" : \"ELISA\",\n \"fsk:description\" : \"ELISA is a popular format of \\\"wet-lab\\\" type analytic biochemistry assay that uses a solid-phase enzyme immunoassay (EIA) to detect the presence of a substance, usually an antigen, in a liquid sample or wet sample.\",\n \"fsk:contaminationRange\" : \"200-800\"\n }, {\n \"fsk:name\" : \"Plaque-Assay\",\n \"fsk:description\" : \"standard method used to determine virus concentration in terms of infectious dose. Viral plaque assays determine the number of plaque forming units (pfu) in a virus sample, which is one measure of virus quantity.\",\n \"fsk:contaminationRange\" : \"0,5 - 400\"\n } ]\n },\n \"fsk:modelMath\" : {\n \"fsk:parameter\" : [ {\n \"fsk:id\" : \"Dose_matrix\",\n \"fsk:classification\" : \"INPUT\",\n \"fsk:name\" : \"Dose_matrix\",\n \"fsk:description\" : \"matrix with GEC NoV for each serving (rows=servings; columns = number of different employee-teams that prepare food)\",\n \"fsk:unit\" : \"kGy/h\",\n \"fsk:unitCategory\" : \"Energy Content Rate\",\n \"fsk:dataType\" : \"FILE\",\n \"fsk:source\" : \"Article\",\n \"fsk:subject\" : \"Animal\",\n \"fsk:distribution\" : \"Bernoulli 1\",\n \"fsk:value\" : \"0.2\",\n \"fsk:variabilitySubject\" : \"days\",\n \"fsk:minValue\" : \"1.0\",\n \"fsk:maxValue\" : \"10000.0\",\n \"fsk:error\" : \"0.5\"\n }, {\n \"fsk:id\" : \"nInf\",\n \"fsk:classification\" : \"OUTPUT\",\n \"fsk:name\" : \"nInf\",\n \"fsk:description\" : \"number of infected individuals, mean over stores (2000 servings per store)\",\n \"fsk:unit\" : \"PFU/25g\",\n \"fsk:unitCategory\" : \"Number Content (count/mass)\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Model result\",\n \"fsk:subject\" : \"Batch of animals\",\n \"fsk:distribution\" : \"Log-Logistic 2\",\n \"fsk:variabilitySubject\" : \"hours\",\n \"fsk:minValue\" : \"0.1\",\n \"fsk:maxValue\" : \"20000.0\",\n \"fsk:error\" : \"0.4\"\n }, {\n \"fsk:id\" : \"nIll\",\n \"fsk:classification\" : \"OUTPUT\",\n \"fsk:name\" : \"nIll\",\n \"fsk:description\" : \"number of ill individuals, mean over stores (2000 servings per store)\",\n \"fsk:unit\" : \"mg\",\n \"fsk:unitCategory\" : \"Mass\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Model result\",\n \"fsk:subject\" : \"Batch of products\",\n \"fsk:distribution\" : \"Half Cauchy 1\",\n \"fsk:variabilitySubject\" : \"size\",\n \"fsk:minValue\" : \"0.3\",\n \"fsk:maxValue\" : \"30000.0\",\n \"fsk:error\" : \"0.3\"\n }, {\n \"fsk:id\" : \"meanPos\",\n \"fsk:classification\" : \"OUTPUT\",\n \"fsk:name\" : \"meanPos\",\n \"fsk:description\" : \"mean number of NoV particles over positive servings\",\n \"fsk:unit\" : \"month\",\n \"fsk:unitCategory\" : \"Time\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Model result\",\n \"fsk:subject\" : \"Other\",\n \"fsk:distribution\" : \"Generalized Poisson 3\",\n \"fsk:variabilitySubject\" : \"height\",\n \"fsk:minValue\" : \"0.5\",\n \"fsk:maxValue\" : \"40000.0\",\n \"fsk:error\" : \"0.2\"\n }, {\n \"fsk:id\" : \"prev18\",\n \"fsk:classification\" : \"OUTPUT\",\n \"fsk:name\" : \"prev18\",\n \"fsk:description\" : \"proportion of servings with >18 NoV\",\n \"fsk:unit\" : \"g/daily portion\",\n \"fsk:unitCategory\" : \"Mass\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Model result\",\n \"fsk:subject\" : \"Other\",\n \"fsk:distribution\" : \"Binomial 1\",\n \"fsk:variabilitySubject\" : \"weight\",\n \"fsk:minValue\" : \"0.2\",\n \"fsk:maxValue\" : \"50000.0\",\n \"fsk:error\" : \"0.1\"\n }, {\n \"fsk:id\" : \"prev100\",\n \"fsk:classification\" : \"OUTPUT\",\n \"fsk:name\" : \"prev100\",\n \"fsk:description\" : \"proportion of servings with >100 NoV\",\n \"fsk:unit\" : \"objects/g\",\n \"fsk:unitCategory\" : \"Number Content (count/mass)\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Model result\",\n \"fsk:subject\" : \"Feces\",\n \"fsk:distribution\" : \"Discrete distribution\",\n \"fsk:variabilitySubject\" : \"color\",\n \"fsk:minValue\" : \"0.12\",\n \"fsk:maxValue\" : \"60000.0\",\n \"fsk:error\" : \"0.01\"\n }, {\n \"fsk:id\" : \"prev1000\",\n \"fsk:classification\" : \"OUTPUT\",\n \"fsk:name\" : \"prev1000\",\n \"fsk:description\" : \"proportion of servings with >1000 NoV\",\n \"fsk:unit\" : \"Bq/L\",\n \"fsk:unitCategory\" : \"Energy content rate\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Model result\",\n \"fsk:subject\" : \"Feces\",\n \"fsk:distribution\" : \"Geometric 1\",\n \"fsk:variabilitySubject\" : \"shape\",\n \"fsk:minValue\" : \"0.142\",\n \"fsk:maxValue\" : \"70000.0\",\n \"fsk:error\" : \"0.02\"\n }, {\n \"fsk:id\" : \"alpha\",\n \"fsk:classification\" : \"INPUT\",\n \"fsk:name\" : \"alpha\",\n \"fsk:description\" : \"Alpha parameter in dose response model related to probability of infection (shape of beta distribution)\",\n \"fsk:unit\" : \"month\",\n \"fsk:unitCategory\" : \"Time\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Expert opinion\",\n \"fsk:subject\" : \"Carcass skin\",\n \"fsk:distribution\" : \"Half-normal 1\",\n \"fsk:value\" : \"0.04\",\n \"fsk:variabilitySubject\" : \"age\",\n \"fsk:minValue\" : \"0.01\",\n \"fsk:maxValue\" : \"80000.0\",\n \"fsk:error\" : \"0.03\"\n }, {\n \"fsk:id\" : \"beta\",\n \"fsk:classification\" : \"INPUT\",\n \"fsk:name\" : \"beta\",\n \"fsk:description\" : \"Beta parameter in dose response model related to probability of infection (scale of beta distribution)\",\n \"fsk:unit\" : \"Inertia\",\n \"fsk:unitCategory\" : \"Energy content\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Estimate\",\n \"fsk:subject\" : \"Product\",\n \"fsk:distribution\" : \"Negative Binomial 1\",\n \"fsk:value\" : \"0.055\",\n \"fsk:variabilitySubject\" : \"concentration\",\n \"fsk:minValue\" : \"0.002\",\n \"fsk:maxValue\" : \"90000.0\",\n \"fsk:error\" : \"0.4\"\n }, {\n \"fsk:id\" : \"eta\",\n \"fsk:classification\" : \"INPUT\",\n \"fsk:name\" : \"eta\",\n \"fsk:description\" : \"Eta parameter in dose response model related to probability of illnes (scale parameter for gamma distribution)\",\n \"fsk:unit\" : \"kcal/portion\",\n \"fsk:unitCategory\" : \"Other\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Assumption\",\n \"fsk:subject\" : \"Package\",\n \"fsk:distribution\" : \"Arcsine 2\",\n \"fsk:value\" : \"0.00255\",\n \"fsk:variabilitySubject\" : \"difficulty\",\n \"fsk:minValue\" : \"0.01\",\n \"fsk:maxValue\" : \"100000.0\",\n \"fsk:error\" : \"0.5\"\n }, {\n \"fsk:id\" : \"r\",\n \"fsk:classification\" : \"INPUT\",\n \"fsk:name\" : \"r\",\n \"fsk:description\" : \"R parameter in dose response model related to probability of illness (shape parameter for gamma distribution)\",\n \"fsk:unit\" : \"dimensionless\",\n \"fsk:unitCategory\" : \"Dimensionless\",\n \"fsk:dataType\" : \"DOUBLE\",\n \"fsk:source\" : \"Not applicable \",\n \"fsk:subject\" : \"Belly\",\n \"fsk:distribution\" : \"Multivariate Gaussian 2\",\n \"fsk:value\" : \"0.086\",\n \"fsk:variabilitySubject\" : \"species\",\n \"fsk:minValue\" : \"0.1\",\n \"fsk:maxValue\" : \"110000.0\",\n \"fsk:error\" : \"0.05\"\n } ],\n \"fsk:qualityMeasures\" : [ {\n \"fsk:sse\" : \"0.0\",\n \"fsk:mse\" : \"0.2\",\n \"fsk:rmse\" : \"0.3\",\n \"fsk:rsquared\" : \"0.9\",\n \"fsk:aic\" : \"0.0\",\n \"fsk:bic\" : \"1.0\"\n } ],\n \"fsk:fittingProcedure\" : \"Maximum likelihood estimation (MLE)\"\n }\n }\n } ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/capture",
"host": [
"{{url}}"
],
"path": [
"capture"
]
}
},
"response": []
}
]
},
{
"name": "OnDemandQuery",
"item": [
{
"name": "GetEventFromModelType",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"queryType\": \"events\",\n \"query\": {\n \"@context\": {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n },\n \"EQ_INNER_fsk:modelType\": [\n \"ExposureModel\",\n \"PredictiveModel\"\n ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/queries/SimpleEventQuery?perPage=20",
"host": [
"{{url}}"
],
"path": [
"queries",
"SimpleEventQuery"
],
"query": [
{
"key": "perPage",
"value": "20"
}
]
}
},
"response": []
},
{
"name": "GetEventsFromLanguageWrittenIn",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
},
{
"key": "GS1-EPC-Format",
"value": "Always_EPC_URN",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"queryType\": \"events\",\n \"query\": {\n \"@context\": {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n },\n \"EQ_INNER_fsk:languageWrittenIn\": [\n \"R\",\n \"MatLab\"\n ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/queries/SimpleEventQuery?perPage=20",
"host": [
"{{url}}"
],
"path": [
"queries",
"SimpleEventQuery"
],
"query": [
{
"key": "perPage",
"value": "20"
}
]
}
},
"response": []
},
{
"name": "RangeQueryOnCreationDate",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"queryType\": \"events\",\n \"query\": {\n \"@context\": {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n },\n \"GT_INNER_fsk:creationDate\": \"2020-03-03T11:30:47.0Z\",\n \"LT_INNER_fsk:creationDate\": \"2021-12-31T11:30:47.0Z\"\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/queries/SimpleEventQuery?perPage=20",
"host": [
"{{url}}"
],
"path": [
"queries",
"SimpleEventQuery"
],
"query": [
{
"key": "perPage",
"value": "20"
}
]
}
},
"response": []
},
{
"name": "MatchQueryOnEPC",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"queryType\": \"events\",\n \"query\": {\n \"@context\": {\n \"fsk\": \"https://foodrisklabs.bfr.bund.de/fsk-lab-schema.json\"\n },\n \"MATCH_anyEPC\": [\n \"urn:epc:id:sgtin:0614141.*\"\n ]\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/queries/SimpleEventQuery?perPage=20",
"host": [
"{{url}}"
],
"path": [
"queries",
"SimpleEventQuery"
],
"query": [
{
"key": "perPage",
"value": "20"
}
]
}
},
"response": []
},
{
"name": "GT_value_uomQuery",
"request": {
"method": "POST",
"header": [
{
"key": "Authorization",
"value": "{{token}}",
"type": "text"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"queryType\": \"events\",\n \"query\": {\n \"GT_value_KEL\": 280,\n \"LT_value_KEL\": 300\n }\n}",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{url}}/queries/SimpleEventQuery?perPage=20",
"host": [
"{{url}}"
],
"path": [
"queries",
"SimpleEventQuery"
],
"query": [
{
"key": "perPage",
"value": "20"
}
]
}
},
"response": []
}
]
}
]
}