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Detection Task
Task ID
task-06166aab-21c7-4ac8-80b9-4c20c8ecd25f
Status
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Summary of results
Below is a summary of this task
Documents
Detections show how likely the document was written by a human. Each document is scored per paragraph and then averaged.
docuent1.docx
860 KB
81%
docuent1.docx
860 KB
81%
docuent1.docx
860 KB
81%
docuent1.docx
860 KB
81%
docuent1.docx
860 KB
81%
docuent1.docx
860 KB
81%
Document.1.docx
file-nhida2ugbt
Overall score
92%
Explained detection
"Document.1.docx" scored 92% likely to be human-written, meaning there is an 8% chance it was generated by a computer. Overall, it was very likely that this document was authentically written by a person
Human score
99%
Classification
Likely human written
Extracted Paragraph
The deep learning modules of AGI-1 are based on convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which are used for tasks such as image recognition and natural language processing. These modules are trained on large datasets using techniques such as backpropagation and stochastic gradient descent to optimize their performance
Human score
99%
Classification
Likely human written
Extracted Paragraph
The symbolic reasoning modules of AGI-1 are based on knowledge representation and reasoning techniques such as logic programming and semantic networks. These modules are used to represent and reason about abstract concepts and relationships, enabling AGI-1 to make decisions based on logical rules.
Human score
99%
Classification
Likely human written
Extracted Paragraph
Extracted Paragraph
Human score
99%
Classification
Likely human written
Extracted Paragraph
Extracted Paragraph