PATENT CLAIM ANALYSIS

Application Number: 16290550
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-10
Patent Classification: ["399", "045000"]

Abstract:
An image forming apparatus that forms an image on a sheet under an operation condition set depending on a sheet type, includes a hardware processor that: detects whether the sheet type is any one of a plurality of assumed types; performs control such that an activation operation for forming the image under an interim condition, which is an operation condition corresponding to one of the plurality of assumed types, is performed before detecting the sheet type; determines whether or not a recovery operation for optimizing a state of image formation is performed before starting image formation under a determinate condition, which is an operation condition corresponding to the detected type; performs control such that the recovery operation is performed when it is determined that the recovery operation is performed; and performs control such that the image formation is performed under the determinate condition after the recovery operation is performed.

Claim (Index 6):
The image forming apparatus according to  claim 4 ,\n wherein the hardware processor performs control such that the idling operation or a deactivation operation for returning the photoreceptor to a state immediately before starting the activation operation is performed as the recovery operation.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 99.0
- Lexical Diversity: 2.65
- Patent Class: 399.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16182936', '16278650', '15492478', '15431122', '11882922']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8081269231101159
- 35 USC 102 Novelty (BERT): 0.4850473156126639
- Combined Prediction Score: 0.7758189623603706
- Mean Citation Score: 160.84678200000005
- Max Citation Score: 178.04292
- Similarity Product: 111.10915247697832

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

Dataset: test