PATENT CLAIM ANALYSIS

Application Number: 15941171
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["358", "001150"]

Abstract:
An image processing device includes a display unit and a processor configured to determine whether or not functions of the image processing device are executable by the image processing device, and cause the display unit to display a screen including a first item corresponding to a first function that is determined to be executable and a second item corresponding to a second function that is determined to be not executable. The first item is displayed on the screen in a first display format, and the second item is displayed on the screen in a second display format that is less conspicuous than the first display format.

Claim (Index 5):
The device according to  claim 1 , wherein\n upon login of a user into the image processing device, the processor determines functions of the image processing device that are not executable in the image processing device at the login time, and for each of the functions, carries out a first process to install an application that supports the function that is not executable without the application being installed or a second process to cause an item corresponding to the function to be displayed on the screen or not displayed on the screen.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.5
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13682662', '13605330', '15383391', '14882513', '15401964']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4547583591238268
- 35 USC 102 Novelty (BERT): 0.4827684507947721
- Combined Prediction Score: 0.4575593682909213
- Mean Citation Score: 130.982878
- Max Citation Score: 136.77615
- Similarity Product: 95.76902448754906

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test