PATENT CLAIM ANALYSIS

Application Number: 15747137
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["430", "127000"]

Abstract:
There are provided a method of manufacturing an electrophotographic photoreceptor which achieves excellent enduring characteristics and reduction in occurrence of image defects, a method of manufacturing an image forming apparatus, and an electrophotographic photoreceptor manufacturing apparatus. A method of manufacturing an electrophotographic photoreceptor includes a step of roughening an outer surface of a cylindrical base body so that a surface roughness of the outer surface of the cylindrical base body satisfies Str≥0.70, in which Str denotes texture aspect ratio; a step of forming a charge injection blocking layer on the outer surface of the cylindrical base body; a step of forming a photoconductive layer on the charge injection blocking layer; and a step of forming a surface layer on the photoconductive layer.

Claim (Index 12):
The method of manufacturing an electrophotographic photoreceptor according to  claim 1 , wherein the step of roughening, the step of forming the charge injection blocking layer, the step of forming the photoconductive layer, and the step of forming the surface layer are continuously performed while maintaining a vacuum state by using a single CVD system.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 86.0
- Lexical Diversity: 2.5
- Patent Class: 430.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16466442', '16466552', '14347969', '15015590', '13922169']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7789694225003075
- 35 USC 102 Novelty (BERT): 0.5050909448855408
- Combined Prediction Score: 0.7515815747388309
- Mean Citation Score: 218.501094
- Max Citation Score: 260.1129
- Similarity Product: 169.7691179715693

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