PATENT CLAIM ANALYSIS

Application Number: 16204707
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-07
Patent Classification: ["399", "062000"]

Abstract:
An image forming apparatus includes: a developer casing that accommodates a developer; an developer detector that is disposed in the developer casing, and that detects, based on magnetic force, the developer from a plurality of detection ranges that is close to each other and is disposed side by side in a vertical direction in the developer casing; and a hardware processor that performs control of detecting a liquid level position of the developer in the developer casing, based on a detection result detected by the developer detector.

Claim (Index 8):
The image forming apparatus according to  claim 6 , further comprising:\n a plurality of toner replenishers disposed at different positions in the longitudinal direction in the developer casing, wherein in accordance with the difference value between the liquid level position of the developer on a first side and the liquid level position of the developer on a second side, the hardware processor controls such that a toner replenisher corresponding to a position where an amount of the developer in the longitudinal direction is small among the plurality of toner replenishers, replenishes toner to the developer casing.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 98.0
- Lexical Diversity: 1.93878
- Patent Class: 399.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15695265', '15908293', '11408081', '12379568', '11761731']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8065340219717508
- 35 USC 102 Novelty (BERT): 0.4860173835276091
- Combined Prediction Score: 0.7744823581273367
- Mean Citation Score: 206.74942600000003
- Max Citation Score: 219.27364
- Similarity Product: 145.47067980736014

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

Dataset: test