PATENT CLAIM ANALYSIS

Application Number: 15933778
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["399", "013000"]

Abstract:
In an image forming apparatus, a recognition tag is an electronic tag in which recognition information is recorded in advance. A displacement mechanism holds a displacement portion at a first position so as to make a communication access from a tag reader to a recognition tag possible in a case where a replenishment unit is not attached to a unit attachment portion, and holds the displacement portion at a second position so as to make the communication access from the tag reader to the recognition tag impossible in a case where the replenishment unit is attached to the unit attachment portion. The state determining portion determines a state from among a unit attachment state, a unit non-attachment state, and an exceptional state based on information obtained via the tag reader.

Claim (Index 5):
The image forming apparatus according to  claim 1 , comprising:\n a plurality of the unit attachment portions and a plurality of the recognition tags corresponding to the plurality of the unit attachment portions, wherein the state determining portion determines the state from among the unit attachment state, the unit non-attachment state, and the exceptional state, for each of the plurality of the unit attachment portions.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.44643
- Patent Class: 399.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15718597', '15933767', '15848701', '12143456', '11217969']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7925663646493287
- 35 USC 102 Novelty (BERT): 0.4867479481740342
- Combined Prediction Score: 0.7619845230017993
- Mean Citation Score: 171.26593200000005
- Max Citation Score: 184.15436
- Similarity Product: 111.27643808079004

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