PATENT CLAIM ANALYSIS

Application Number: 15936244
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["271", "003150"]

Abstract:
An image forming apparatus includes first and second sheet storages, a sheet conveyer, an image reading unit configured to read a surface of a sheet conveyed from the first sheet storage by the sheet conveyer, an image forming unit configured to form an image on the sheet conveyed from the image reading unit, and a controller. The controller is configured to determine an amount of a color material appearing on the surface of the sheet based on image data generated by the image reading unit, determine one of the image forming unit and the second sheet storage as a sheet feeding destination, based on the determined amount of the color material and a threshold value that is associated with at least one of a type and content of an image to be formed on the sheet, and control the sheet conveyer to convey the sheet to the sheet feeding destination.

Claim (Index 8):
The apparatus according to  claim 6 , wherein\n the type of the image that can be designated through the input unit includes a confidential image and a non-confidential image, and a threshold value associated with the confidential image is greater than a threshold value associated with the non-confidential image.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 2.74138
- Patent Class: 271.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15276482', '13042331', '13042428', '13042876', '15069965']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7286393693263387
- 35 USC 102 Novelty (BERT): 0.507941484673846
- Combined Prediction Score: 0.7065695808610895
- Mean Citation Score: 220.401658
- Max Citation Score: 312.80878
- Similarity Product: 267.08724831049085

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

Dataset: test