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Revision 37780

Added by Marek Horst almost 9 years ago

updating expected classes, setting acm classes

View differences:

modules/icm-iis-mainworkflows/trunk/src/test/resources/eu/dnetlib/iis/mainworkflows/integration/primary/processing/output/document_classes.json
7 7 
          "Computer Science",
8 8 
          "Multimedia"
9 9 
        ],
10 
        "confidenceLevel": 0.918
10 
        "confidenceLevel": 0.915
11 11 
      },
12 12 
      {
13 13 
        "classLabels": [
......
21 21 
          "Physics",
22 22 
          "Fluid Dynamics"
23 23 
        ],
24 
        "confidenceLevel": 0.49
24 
        "confidenceLevel": 0.472
25 25 
      },
26 26 
      {
27 27 
        "classLabels": [
......
43 43 
        "classLabels": [
44 44 
          "COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE"
45 45 
        ],
46 
        "confidenceLevel": 0.665
46 
        "confidenceLevel": 0.647
47 47 
      },
48 48 
      {
49 49 
        "classLabels": [
50 50 
          "PEDIATRICS"
51 51 
        ],
52 
        "confidenceLevel": 0.63
52 
        "confidenceLevel": 0.613
53 53 
      },
54 54 
      {
55 55 
        "classLabels": [
......
61 61 
        "classLabels": [
62 62 
          "ENGINEERING, ELECTRICAL \u0026 ELECTRONIC"
63 63 
        ],
64 
        "confidenceLevel": 0.385
64 
        "confidenceLevel": 0.368
65 65 
      },
66 66 
      {
67 67 
        "classLabels": [
68 68 
          "EDUCATION, SCIENTIFIC DISCIPLINES"
69 69 
        ],
70 
        "confidenceLevel": 0.158
70 
        "confidenceLevel": 0.14
71 71 
      }
72 72 
    ],
73 73 
    "DDCClasses": [
......
112 112 
        "classLabels": [
113 113 
          "humanities"
114 114 
        ],
115 
        "confidenceLevel": 0.472
115 
        "confidenceLevel": 0.455
116 116 
      },
117 117 
      {
118 118 
        "classLabels": [
......
130 130 
        "classLabels": [
131 131 
          "psychological phenomena and processes"
132 132 
        ],
133 
        "confidenceLevel": 0.158
133 
        "confidenceLevel": 0.14
134 134 
      },
135 135 
      {
136 136 
        "classLabels": [
......
139 139 
        "confidenceLevel": 0.052
140 140 
      }
141 141 
    ],
142 
    "ACMClasses": null
142 
    "ACMClasses": [
143 
      {
144 
        "classLabels": [
145 
          "ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION"
146 
        ],
147 
        "confidenceLevel": 0.49
148 
      },
149 
      {
150 
        "classLabels": [
151 
          "ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS"
152 
        ],
153 
        "confidenceLevel": 0.368
154 
      },
155 
      {
156 
        "classLabels": [
157 
          "Data_CODINGANDINFORMATIONTHEORY"
158 
        ],
159 
        "confidenceLevel": 0.368
160 
      },
161 
      {
162 
        "classLabels": [
163 
          "ComputingMethodologies_PATTERNRECOGNITION"
164 
        ],
165 
        "confidenceLevel": 0.245
166 
      },
167 
      {
168 
        "classLabels": [
169 
          "ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS"
170 
        ],
171 
        "confidenceLevel": 0.245
172 
      }
173 
    ]
143 174 
  }
144 175 
}
145 176 
{
......
151 182 
          "Physics",
152 183 
          "Optics"
153 184 
        ],
154 
        "confidenceLevel": 0.71
185 
        "confidenceLevel": 0.7
155 186 
      },
156 187 
      {
157 188 
        "classLabels": [
158 189 
          "Physics",
159 190 
          "Atomic and Molecular Clusters"
160 191 
        ],
161 
        "confidenceLevel": 0.647
192 
        "confidenceLevel": 0.63
162 193 
      },
163 194 
      {
164 195 
        "classLabels": [
165 196 
          "Condensed Matter",
166 197 
          "Materials Science"
167 198 
        ],
168 
        "confidenceLevel": 0.525
199 
        "confidenceLevel": 0.508
169 200 
      },
170 201 
      {
171 202 
        "classLabels": [
172 203 
          "Physics",
173 204 
          "Plasma Physics"
174 205 
        ],
175 
        "confidenceLevel": 0.368
206 
        "confidenceLevel": 0.35
176 207 
      },
177 208 
      {
178 209 
        "classLabels": [
......
187 218 
        "classLabels": [
188 219 
          "MATERIALS SCIENCE, MULTIDISCIPLINARY"
189 220 
        ],
190 
        "confidenceLevel": 0.83
221 
        "confidenceLevel": 0.82
191 222 
      },
192 223 
      {
193 224 
        "classLabels": [
194 225 
          "NANOSCIENCE \u0026 NANOTECHNOLOGY"
195 226 
        ],
196 
        "confidenceLevel": 0.647
227 
        "confidenceLevel": 0.63
197 228 
      },
198 229 
      {
199 230 
        "classLabels": [
200 231 
          "PHYSICS, APPLIED"
201 232 
        ],
202 
        "confidenceLevel": 0.542
233 
        "confidenceLevel": 0.525
203 234 
      },
204 235 
      {
205 236 
        "classLabels": [
......
256 287 
        "classLabels": [
257 288 
          "technology, industry, and agriculture"
258 289 
        ],
259 
        "confidenceLevel": 0.921
290 
        "confidenceLevel": 0.915
260 291 
      },
261 292 
      {
262 293 
        "classLabels": [
263 294 
          "animal structures"
264 295 
        ],
265 
        "confidenceLevel": 0.647
296 
        "confidenceLevel": 0.63
266 297 
      },
267 298 
      {
268 299 
        "classLabels": [
......
280 311 
        "classLabels": [
281 312 
          "macromolecular substances"
282 313 
        ],
283 
        "confidenceLevel": 0.368
314 
        "confidenceLevel": 0.35
284 315 
      }
285 316 
    ],
286 
    "ACMClasses": null
317 
    "ACMClasses": [
318 
      {
319 
        "classLabels": [
320 
          "ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION"
321 
        ],
322 
        "confidenceLevel": 0.49
323 
      },
324 
      {
325 
        "classLabels": [
326 
          "ComputingMethodologies_COMPUTERGRAPHICS"
327 
        ],
328 
        "confidenceLevel": 0.472
329 
      },
330 
      {
331 
        "classLabels": [
332 
          "GeneralLiterature_MISCELLANEOUS"
333 
        ],
334 
        "confidenceLevel": 0.42
335 
      },
336 
      {
337 
        "classLabels": [
338 
          "Hardware_INTEGRATEDCIRCUITS"
339 
        ],
340 
        "confidenceLevel": 0.35
341 
      },
342 
      {
343 
        "classLabels": [
344 
          "Hardware_LOGICDESIGN"
345 
        ],
346 
        "confidenceLevel": 0.298
347 
      }
348 
    ]
287 349 
  }
288 350 
}
289 351 
{
......
295 357 
          "Statistics",
296 358 
          "Machine Learning"
297 359 
        ],
298 
        "confidenceLevel": 0.7
360 
        "confidenceLevel": 0.682
299 361 
      },
300 362 
      {
301 363 
        "classLabels": [
302 364 
          "Computer Science",
303 365 
          "Machine Learning"
304 366 
        ],
305 
        "confidenceLevel": 0.455
367 
        "confidenceLevel": 0.438
306 368 
      },
307 369 
      {
308 370 
        "classLabels": [
309 371 
          "Statistics",
310 372 
          "Methodology"
311 373 
        ],
312 
        "confidenceLevel": 0.263
374 
        "confidenceLevel": 0.245
313 375 
      },
314 376 
      {
315 377 
        "classLabels": [
316 378 
          "Statistics",
317 379 
          "Theory"
318 380 
        ],
319 
        "confidenceLevel": 0.263
381 
        "confidenceLevel": 0.245
320 382 
      },
321 383 
      {
322 384 
        "classLabels": [
......
331 393 
        "classLabels": [
332 394 
          "AUTOMATION \u0026 CONTROL SYSTEMS"
333 395 
        ],
334 
        "confidenceLevel": 0.939
396 
        "confidenceLevel": 0.936
335 397 
      },
336 398 
      {
337 399 
        "classLabels": [
338 400 
          "MATHEMATICS, INTERDISCIPLINARY APPLICATIONS"
339 401 
        ],
340 
        "confidenceLevel": 0.89
402 
        "confidenceLevel": 0.87
341 403 
      },
342 404 
      {
343 405 
        "classLabels": [
344 406 
          "MATHEMATICS, APPLIED"
345 407 
        ],
346 
        "confidenceLevel": 0.81
408 
        "confidenceLevel": 0.8
347 409 
      },
348 410 
      {
349 411 
        "classLabels": [
350 412 
          "COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE"
351 413 
        ],
352 
        "confidenceLevel": 0.8
414 
        "confidenceLevel": 0.79
353 415 
      },
354 416 
      {
355 417 
        "classLabels": [
356 418 
          "MECHANICS"
357 419 
        ],
358 
        "confidenceLevel": 0.79
420 
        "confidenceLevel": 0.78
359 421 
      }
360 422 
    ],
361 423 
    "DDCClasses": [
......
400 462 
        "classLabels": [
401 463 
          "food and beverages"
402 464 
        ],
403 
        "confidenceLevel": 0.76
465 
        "confidenceLevel": 0.75
404 466 
      },
405 467 
      {
406 468 
        "classLabels": [
407 469 
          "natural sciences"
408 470 
        ],
409 
        "confidenceLevel": 0.75
471 
        "confidenceLevel": 0.74
410 472 
      },
411 473 
      {
412 474 
        "classLabels": [
413 475 
          "genetic structures"
414 476 
        ],
415 
        "confidenceLevel": 0.578
477 
        "confidenceLevel": 0.56
416 478 
      },
417 479 
      {
418 480 
        "classLabels": [
419 481 
          "digestive, oral, and skin physiology"
420 482 
        ],
421 
        "confidenceLevel": 0.542
483 
        "confidenceLevel": 0.525
422 484 
      },
423 485 
      {
424 486 
        "classLabels": [
425 487 
          "humanities"
426 488 
        ],
427 
        "confidenceLevel": 0.368
489 
        "confidenceLevel": 0.35
428 490 
      }
429 491 
    ],
430 
    "ACMClasses": null
492 
    "ACMClasses": [
493 
      {
494 
        "classLabels": [
495 
          "ComputingMethodologies_PATTERNRECOGNITION"
496 
        ],
497 
        "confidenceLevel": 0.71
498 
      },
499 
      {
500 
        "classLabels": [
501 
          "Software_OPERATINGSYSTEMS"
502 
        ],
503 
        "confidenceLevel": 0.333
504 
      },
505 
      {
506 
        "classLabels": [
507 
          "MathematicsofComputing_NUMERICALANALYSIS"
508 
        ],
509 
        "confidenceLevel": 0.192
510 
      },
511 
      {
512 
        "classLabels": [
513 
          "MathematicsofComputing_DISCRETEMATHEMATICS"
514 
        ],
515 
        "confidenceLevel": 0.192
516 
      },
517 
      {
518 
        "classLabels": [
519 
          "Data_MISCELLANEOUS"
520 
        ],
521 
        "confidenceLevel": 0.192
522 
      }
523 
    ]
431 524 
  }
432 525 
}

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