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{"documentId": "An Improvised Algorithm to Identify The Beauty of A Planar Curve", "classes": {"arXivClasses": [{"classLabels": ["Mathematics", "Differential Geometry"], "confidenceLevel": 0.015}, {"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.015}, {"classLabels": ["Mathematics", "History and Overview"], "confidenceLevel": 0.015}, {"classLabels": ["Computer Science", "Computational Geometry"], "confidenceLevel": 0.011}], "WoSClasses": [{"classLabels": ["MATHEMATICS"], "confidenceLevel": 0.08}, {"classLabels": ["MATHEMATICS, APPLIED"], "confidenceLevel": 0.072}, {"classLabels": ["COMPUTER SCIENCE, THEORY & METHODS"], "confidenceLevel": 0.064}, {"classLabels": ["OPTICS"], "confidenceLevel": 0.019}, {"classLabels": ["METALLURGY & METALLURGICAL ENGINEERING"], "confidenceLevel": 0.019}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.125}, {"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.121}, {"classLabels": ["Science", "Physics"], "confidenceLevel": 0.053}, {"classLabels": ["Arts & recreation", "Arts"], "confidenceLevel": 0.038}, {"classLabels": ["Technology", "Technology"], "confidenceLevel": 0.03}], "meshEuroPMCClasses": [{"classLabels": ["eye diseases"], "confidenceLevel": 0.049}, {"classLabels": ["natural sciences"], "confidenceLevel": 0.038}, {"classLabels": ["humanities"], "confidenceLevel": 0.023}, {"classLabels": ["body regions"], "confidenceLevel": 0.019}, {"classLabels": ["human activities"], "confidenceLevel": 0.011}]}}
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{"documentId": "An algorithm for improving the quality of compacted JPEG image by\n  minimizes the blocking artifacts", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Computer Vision and Pattern Recognition"], "confidenceLevel": 0.054}, {"classLabels": ["Computer Science", "Multimedia"], "confidenceLevel": 0.033}, {"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.013}, {"classLabels": ["Computer Science", "Emerging Technologies"], "confidenceLevel": 0.0090}, {"classLabels": ["Computer Science", "Hardware Architecture"], "confidenceLevel": 0.0070}], "WoSClasses": [{"classLabels": ["COMPUTER SCIENCE, SOFTWARE ENGINEERING"], "confidenceLevel": 0.026}, {"classLabels": ["RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING"], "confidenceLevel": 0.025}, {"classLabels": ["COMPUTER SCIENCE, CYBERNETICS"], "confidenceLevel": 0.021}, {"classLabels": ["ENGINEERING, ELECTRICAL & ELECTRONIC"], "confidenceLevel": 0.019}, {"classLabels": ["ENGINEERING, BIOMEDICAL"], "confidenceLevel": 0.017}], "DDCClasses": [{"classLabels": ["Technology", "Engineering"], "confidenceLevel": 0.037}, {"classLabels": ["Technology", "Technology"], "confidenceLevel": 0.028}, {"classLabels": ["Computer science, information & general works", "Associations, organizations & museums"], "confidenceLevel": 0.028}, {"classLabels": ["Social sciences", "Statistics"], "confidenceLevel": 0.024}, {"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.023}], "meshEuroPMCClasses": [{"classLabels": ["body regions"], "confidenceLevel": 0.017}, {"classLabels": ["sense organs"], "confidenceLevel": 0.01}, {"classLabels": ["eye diseases"], "confidenceLevel": 0.0080}, {"classLabels": ["genetic structures"], "confidenceLevel": 0.0080}, {"classLabels": ["humanities"], "confidenceLevel": 0.0070}]}}
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{"documentId": "Analysis-suitable T-splines: characterization, refineability, and\n  approximation", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.065}, {"classLabels": ["Mathematics", "Numerical Analysis"], "confidenceLevel": 0.047}, {"classLabels": ["Computer Science", "Databases"], "confidenceLevel": 0.012}], "WoSClasses": [{"classLabels": ["MATHEMATICS, INTERDISCIPLINARY APPLICATIONS"], "confidenceLevel": 0.087}, {"classLabels": ["MECHANICS"], "confidenceLevel": 0.069}, {"classLabels": ["MATHEMATICS, APPLIED"], "confidenceLevel": 0.037}, {"classLabels": ["MATHEMATICS"], "confidenceLevel": 0.023}, {"classLabels": ["UROLOGY & NEPHROLOGY"], "confidenceLevel": 0.017}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.085}, {"classLabels": ["Social sciences", "Statistics"], "confidenceLevel": 0.075}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.015}, {"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.013}, {"classLabels": ["Technology", "Technology"], "confidenceLevel": 0.012}], "meshEuroPMCClasses": [{"classLabels": ["body regions"], "confidenceLevel": 0.077}, {"classLabels": ["food and beverages"], "confidenceLevel": 0.0080}, {"classLabels": ["animal structures"], "confidenceLevel": 0.0080}, {"classLabels": ["fungi"], "confidenceLevel": 0.0080}]}}
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{"documentId": "Characterization of Planar Cubic Alternative curve", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Computation and Language (Computational Linguistics and Natural Language and Speech Processing)"], "confidenceLevel": 0.021}, {"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.019}, {"classLabels": ["Physics", "Atmospheric and Oceanic Physics"], "confidenceLevel": 0.017}, {"classLabels": ["Mathematics", "Number Theory"], "confidenceLevel": 0.017}, {"classLabels": ["Mathematics", "Geometric Topology"], "confidenceLevel": 0.015}], "WoSClasses": [{"classLabels": ["CRYSTALLOGRAPHY"], "confidenceLevel": 0.033}, {"classLabels": ["MATHEMATICS"], "confidenceLevel": 0.031}, {"classLabels": ["MATHEMATICS, APPLIED"], "confidenceLevel": 0.029}, {"classLabels": ["ENGINEERING, GEOLOGICAL"], "confidenceLevel": 0.025}, {"classLabels": ["COMPUTER SCIENCE, THEORY & METHODS"], "confidenceLevel": 0.025}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.062}, {"classLabels": ["Science", "Physics"], "confidenceLevel": 0.042}, {"classLabels": ["Science", "Science"], "confidenceLevel": 0.031}, {"classLabels": ["Science", "Astronomy"], "confidenceLevel": 0.027}, {"classLabels": ["Language", "Other languages"], "confidenceLevel": 0.025}], "meshEuroPMCClasses": [{"classLabels": ["cardiovascular system"], "confidenceLevel": 0.039}, {"classLabels": ["technology, industry, and agriculture"], "confidenceLevel": 0.029}, {"classLabels": ["body regions"], "confidenceLevel": 0.023}, {"classLabels": ["lipids (amino acids, peptides, and proteins)"], "confidenceLevel": 0.021}, {"classLabels": ["stomatognathic system"], "confidenceLevel": 0.019}]}}
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{"documentId": "Color scales that are effective in both color and grayscale", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.082}, {"classLabels": ["Computer Science", "Multimedia"], "confidenceLevel": 0.029}, {"classLabels": ["Computer Science", "Computer Vision and Pattern Recognition"], "confidenceLevel": 0.021}, {"classLabels": ["Physics", "Medical Physics"], "confidenceLevel": 0.019}, {"classLabels": ["Computer Science", "Robotics"], "confidenceLevel": 0.0080}], "WoSClasses": [{"classLabels": ["IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY"], "confidenceLevel": 0.091}, {"classLabels": ["REMOTE SENSING"], "confidenceLevel": 0.086}, {"classLabels": ["COMPUTER SCIENCE, CYBERNETICS"], "confidenceLevel": 0.074}, {"classLabels": ["ENGINEERING, MULTIDISCIPLINARY"], "confidenceLevel": 0.017}, {"classLabels": ["COMPUTER SCIENCE, HARDWARE & ARCHITECTURE"], "confidenceLevel": 0.017}], "DDCClasses": [{"classLabels": ["Science", "Animals (Zoology)"], "confidenceLevel": 0.065}, {"classLabels": ["Science", "Astronomy"], "confidenceLevel": 0.063}, {"classLabels": ["Science", "Plants (Botany)"], "confidenceLevel": 0.019}, {"classLabels": ["History & geography", "History of ancient world (to ca. 499)"], "confidenceLevel": 0.013}, {"classLabels": ["Literature", "Literature, rhetoric & criticism"], "confidenceLevel": 0.011}], "meshEuroPMCClasses": [{"classLabels": ["genetic structures"], "confidenceLevel": 0.027}, {"classLabels": ["macromolecular substances"], "confidenceLevel": 0.013}, {"classLabels": ["human activities"], "confidenceLevel": 0.011}, {"classLabels": ["fungi"], "confidenceLevel": 0.011}, {"classLabels": ["humanities"], "confidenceLevel": 0.0080}]}}
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{"documentId": "Digital Image Watermarking for Arbitrarily Shaped Objects Based On\n  SA-DWT", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Multimedia"], "confidenceLevel": 0.132}, {"classLabels": ["Computer Science", "Cryptography and Security"], "confidenceLevel": 0.061}, {"classLabels": ["Computer Science", "Computer Vision and Pattern Recognition"], "confidenceLevel": 0.03}, {"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.022}, {"classLabels": ["Mathematics", "Metric Geometry"], "confidenceLevel": 0.015}], "WoSClasses": [{"classLabels": ["NANOSCIENCE & NANOTECHNOLOGY"], "confidenceLevel": 0.032}, {"classLabels": ["ENGINEERING, ELECTRICAL & ELECTRONIC"], "confidenceLevel": 0.022}, {"classLabels": ["COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE"], "confidenceLevel": 0.012}, {"classLabels": ["COMPUTER SCIENCE, INFORMATION SYSTEMS"], "confidenceLevel": 0.011}, {"classLabels": ["OPHTHALMOLOGY"], "confidenceLevel": 0.01}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.059}, {"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.054}, {"classLabels": ["Social sciences", "Statistics"], "confidenceLevel": 0.034}, {"classLabels": ["Computer science, information & general works", "Library & information sciences"], "confidenceLevel": 0.028}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.025}], "meshEuroPMCClasses": [{"classLabels": ["animal structures"], "confidenceLevel": 0.036}, {"classLabels": ["humanities"], "confidenceLevel": 0.03}, {"classLabels": ["genetic structures"], "confidenceLevel": 0.014}, {"classLabels": ["food and beverages"], "confidenceLevel": 0.013}, {"classLabels": ["psychological phenomena and processes"], "confidenceLevel": 0.01}]}}
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{"documentId": "Efficient and Effective Volume Visualization with Enhanced Isosurface\n  Rendering", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.117}, {"classLabels": ["Physics", "Fluid Dynamics"], "confidenceLevel": 0.042}, {"classLabels": ["Computer Science", "Computational Geometry"], "confidenceLevel": 0.039}, {"classLabels": ["Computer Science", "Databases"], "confidenceLevel": 0.011}, {"classLabels": ["Computer Science", "Computer Vision and Pattern Recognition"], "confidenceLevel": 0.01}], "WoSClasses": [{"classLabels": ["COMPUTER SCIENCE, SOFTWARE ENGINEERING"], "confidenceLevel": 0.052}, {"classLabels": ["COMPUTER SCIENCE, CYBERNETICS"], "confidenceLevel": 0.05}, {"classLabels": ["ENGINEERING, BIOMEDICAL"], "confidenceLevel": 0.033}, {"classLabels": ["REMOTE SENSING"], "confidenceLevel": 0.021}, {"classLabels": ["OPHTHALMOLOGY"], "confidenceLevel": 0.015}], "DDCClasses": [{"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.071}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.02}, {"classLabels": ["Science", "Physics"], "confidenceLevel": 0.014}, {"classLabels": ["Science", "Animals (Zoology)"], "confidenceLevel": 0.013}, {"classLabels": ["Science", "Science"], "confidenceLevel": 0.011}], "meshEuroPMCClasses": [{"classLabels": ["genetic structures"], "confidenceLevel": 0.022}, {"classLabels": ["food and beverages"], "confidenceLevel": 0.0090}, {"classLabels": ["fungi"], "confidenceLevel": 0.0090}, {"classLabels": ["psychological phenomena and processes"], "confidenceLevel": 0.0050}, {"classLabels": ["human activities"], "confidenceLevel": 0.0050}]}}
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{"documentId": "Efficient computational noise in GLSL", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.043}, {"classLabels": ["Computer Science", "Mathematical Software"], "confidenceLevel": 0.024}, {"classLabels": ["Computer Science", "Performance"], "confidenceLevel": 0.02}, {"classLabels": ["Computer Science", "Hardware Architecture"], "confidenceLevel": 0.015}, {"classLabels": ["Computer Science", "Operating Systems"], "confidenceLevel": 0.015}], "WoSClasses": [{"classLabels": ["ENGINEERING, ELECTRICAL & ELECTRONIC"], "confidenceLevel": 0.048}, {"classLabels": ["COMPUTER SCIENCE, HARDWARE & ARCHITECTURE"], "confidenceLevel": 0.03}, {"classLabels": ["FOOD SCIENCE & TECHNOLOGY"], "confidenceLevel": 0.03}, {"classLabels": ["ENGINEERING, PETROLEUM"], "confidenceLevel": 0.024}, {"classLabels": ["COMPUTER SCIENCE, THEORY & METHODS"], "confidenceLevel": 0.019}], "DDCClasses": [{"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.076}, {"classLabels": ["Religion", "Other religions"], "confidenceLevel": 0.019}, {"classLabels": ["Technology", "Technology"], "confidenceLevel": 0.015}, {"classLabels": ["Science", "Earth sciences & geology"], "confidenceLevel": 0.015}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.013}], "meshEuroPMCClasses": [{"classLabels": ["parasitic diseases"], "confidenceLevel": 0.037}, {"classLabels": ["genetic structures"], "confidenceLevel": 0.015}, {"classLabels": ["psychological phenomena and processes"], "confidenceLevel": 0.015}, {"classLabels": ["human activities"], "confidenceLevel": 0.0070}, {"classLabels": ["behavioral disciplines and activities"], "confidenceLevel": 0.0070}]}}
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{"documentId": "Fast B-spline Curve Fitting by L-BFGS", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.025}, {"classLabels": ["Mathematics", "Numerical Analysis"], "confidenceLevel": 0.018}, {"classLabels": ["Physics", "General Physics"], "confidenceLevel": 0.0090}, {"classLabels": ["Computer Science", "Software Engineering"], "confidenceLevel": 0.0080}, {"classLabels": ["Physics", "Data Analysis; Statistics and Probability"], "confidenceLevel": 0.0080}], "WoSClasses": [{"classLabels": ["VETERINARY SCIENCES"], "confidenceLevel": 0.041}, {"classLabels": ["MEDICINE, RESEARCH & EXPERIMENTAL"], "confidenceLevel": 0.034}, {"classLabels": ["ROBOTICS"], "confidenceLevel": 0.02}, {"classLabels": ["MATHEMATICS, INTERDISCIPLINARY APPLICATIONS"], "confidenceLevel": 0.02}, {"classLabels": ["MECHANICS"], "confidenceLevel": 0.017}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.043}, {"classLabels": ["Arts & recreation", "Sports, games & entertainment"], "confidenceLevel": 0.029}, {"classLabels": ["Language", "Linguistics"], "confidenceLevel": 0.025}, {"classLabels": ["Social sciences", "Statistics"], "confidenceLevel": 0.023}, {"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.022}], "meshEuroPMCClasses": [{"classLabels": ["body regions"], "confidenceLevel": 0.02}, {"classLabels": ["technology, industry, and agriculture"], "confidenceLevel": 0.0050}]}}
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{"documentId": "Fast View Frustum Culling of Spatial Object by Analytical Bounding Bin", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.049}, {"classLabels": ["Computer Science", "Computational Geometry"], "confidenceLevel": 0.023}, {"classLabels": ["Computer Science", "Databases"], "confidenceLevel": 0.018}, {"classLabels": ["High Energy Physics", "Theory"], "confidenceLevel": 0.013}, {"classLabels": ["General Relativity and Quantum Cosmology"], "confidenceLevel": 0.013}], "WoSClasses": [{"classLabels": ["METEOROLOGY & ATMOSPHERIC SCIENCES"], "confidenceLevel": 0.018}, {"classLabels": ["FOOD SCIENCE & TECHNOLOGY"], "confidenceLevel": 0.018}, {"classLabels": ["ENGINEERING, BIOMEDICAL"], "confidenceLevel": 0.013}, {"classLabels": ["COMPUTER SCIENCE, THEORY & METHODS"], "confidenceLevel": 0.013}, {"classLabels": ["ENVIRONMENTAL SCIENCES"], "confidenceLevel": 0.013}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.046}, {"classLabels": ["Computer science, information & general works", "Computer science, knowledge & systems"], "confidenceLevel": 0.044}, {"classLabels": ["Science", "Chemistry"], "confidenceLevel": 0.041}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.034}, {"classLabels": ["Technology", "Engineering"], "confidenceLevel": 0.028}], "meshEuroPMCClasses": [{"classLabels": ["fungi"], "confidenceLevel": 0.065}, {"classLabels": ["food and beverages"], "confidenceLevel": 0.023}, {"classLabels": ["congenital, hereditary, and neonatal diseases and abnormalities"], "confidenceLevel": 0.015}, {"classLabels": ["human activities"], "confidenceLevel": 0.015}, {"classLabels": ["animal diseases"], "confidenceLevel": 0.013}]}}
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{"documentId": "G2 Transition curve using Quartic Bezier Curve", "classes": {"arXivClasses": [{"classLabels": ["Astrophysics", "Galaxy Astrophysics"], "confidenceLevel": 0.048}, {"classLabels": ["Computer Science", "Graphics"], "confidenceLevel": 0.03}, {"classLabels": ["Astrophysics", "Cosmology and Extragalactic Astrophysics"], "confidenceLevel": 0.028}, {"classLabels": ["Mathematics", "Differential Geometry"], "confidenceLevel": 0.015}, {"classLabels": ["Mathematics", "Algebraic Geometry"], "confidenceLevel": 0.013}], "WoSClasses": [{"classLabels": ["ASTRONOMY & ASTROPHYSICS"], "confidenceLevel": 0.071}, {"classLabels": ["ENGINEERING, GEOLOGICAL"], "confidenceLevel": 0.063}, {"classLabels": ["MATHEMATICS"], "confidenceLevel": 0.03}, {"classLabels": ["PHYSICS, PARTICLES & FIELDS"], "confidenceLevel": 0.023}, {"classLabels": ["PRIMARY HEALTH CARE"], "confidenceLevel": 0.02}], "DDCClasses": [{"classLabels": ["Science", "Astronomy"], "confidenceLevel": 0.077}, {"classLabels": ["Science", "Physics"], "confidenceLevel": 0.074}, {"classLabels": ["Social sciences", "Statistics"], "confidenceLevel": 0.04}, {"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.033}, {"classLabels": ["Arts & recreation", "Arts"], "confidenceLevel": 0.03}], "meshEuroPMCClasses": [{"classLabels": ["otorhinolaryngologic diseases"], "confidenceLevel": 0.03}, {"classLabels": ["sense organs"], "confidenceLevel": 0.023}, {"classLabels": ["human activities"], "confidenceLevel": 0.012}, {"classLabels": ["food and beverages"], "confidenceLevel": 0.0080}, {"classLabels": ["biological sciences"], "confidenceLevel": 0.0080}]}}
15 
{"documentId": "Gap Processing for Adaptive Maximal Poisson-Disk Sampling", "classes": {"arXivClasses": [{"classLabels": ["Astrophysics", "Earth and Planetary Astrophysics"], "confidenceLevel": 0.041}, {"classLabels": ["Astrophysics", "Galaxy Astrophysics"], "confidenceLevel": 0.03}, {"classLabels": ["Computer Science", "Numerical Analysis"], "confidenceLevel": 0.014}, {"classLabels": ["Computer Science", "Databases"], "confidenceLevel": 0.014}, {"classLabels": ["Computer Science", "Computational Geometry"], "confidenceLevel": 0.0080}], "WoSClasses": [{"classLabels": ["ASTRONOMY & ASTROPHYSICS"], "confidenceLevel": 0.081}, {"classLabels": ["MATHEMATICS"], "confidenceLevel": 0.061}, {"classLabels": ["MECHANICS"], "confidenceLevel": 0.035}, {"classLabels": ["MATHEMATICS, APPLIED"], "confidenceLevel": 0.03}, {"classLabels": ["COMPUTER SCIENCE, THEORY & METHODS"], "confidenceLevel": 0.028}], "DDCClasses": [{"classLabels": ["Science", "Astronomy"], "confidenceLevel": 0.067}, {"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.051}, {"classLabels": ["Science", "Physics"], "confidenceLevel": 0.02}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.02}, {"classLabels": ["Science", "Biology"], "confidenceLevel": 0.016}], "meshEuroPMCClasses": [{"classLabels": ["body regions"], "confidenceLevel": 0.026}, {"classLabels": ["food and beverages"], "confidenceLevel": 0.01}, {"classLabels": ["biological sciences"], "confidenceLevel": 0.01}, {"classLabels": ["natural sciences"], "confidenceLevel": 0.01}, {"classLabels": ["fungi"], "confidenceLevel": 0.01}]}}
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{"documentId": "Geodesics in Heat", "classes": {"arXivClasses": [{"classLabels": ["Computer Science", "Databases"], "confidenceLevel": 0.019}, {"classLabels": ["Physics", "Classical Physics"], "confidenceLevel": 0.016}, {"classLabels": ["Physics", "Computational Physics"], "confidenceLevel": 0.016}, {"classLabels": ["Computer Science", "Numerical Analysis"], "confidenceLevel": 0.013}, {"classLabels": ["Mathematics", "Numerical Analysis"], "confidenceLevel": 0.011}], "WoSClasses": [{"classLabels": ["MATHEMATICS, APPLIED"], "confidenceLevel": 0.024}, {"classLabels": ["PHYSICS, APPLIED"], "confidenceLevel": 0.019}, {"classLabels": ["THERMODYNAMICS"], "confidenceLevel": 0.016}, {"classLabels": ["EDUCATION, SCIENTIFIC DISCIPLINES"], "confidenceLevel": 0.013}, {"classLabels": ["OPTICS"], "confidenceLevel": 0.012}], "DDCClasses": [{"classLabels": ["Science", "Mathematics"], "confidenceLevel": 0.061}, {"classLabels": ["Science", "Astronomy"], "confidenceLevel": 0.029}, {"classLabels": ["Social sciences", "Statistics"], "confidenceLevel": 0.024}, {"classLabels": ["Technology", "Agriculture"], "confidenceLevel": 0.022}, {"classLabels": ["Technology", "Technology"], "confidenceLevel": 0.022}], "meshEuroPMCClasses": [{"classLabels": ["food and beverages"], "confidenceLevel": 0.015}, {"classLabels": ["fungi"], "confidenceLevel": 0.015}, {"classLabels": ["body regions"], "confidenceLevel": 0.0070}, {"classLabels": ["sense organs"], "confidenceLevel": 0.0050}, {"classLabels": ["equipment and supplies"], "confidenceLevel": 0.0050}]}}
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