PATENT CLAIM ANALYSIS

Application Number: 16143140
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["358", "496000"]

Abstract:
An image reading apparatus includes a separating roller that is capable of switching between a separation state in which an original document is separated and a non-separation state in which the original document is not separated, and determines whether or not the original document is fed in the separation state or the non-separation state based on the types of the original document set through a user interface for instructing a select of the types of the original document to be read and a start of reading the original document.

Claim (Index 4):
The image reading apparatus according to  claim 1 , further comprising:\n a double-feeding detecting portion that detects double-feeding of the original document on the downstream side of the feeding roller, wherein the controller is capable of switching between a first feeding mode in which a first original document is fed and a second feeding mode in which a second original document is fed, wherein the first feeding mode is a mode in which a state of the separating roller is set to the non-separation state and the original document is fed, wherein the second feeding mode is a mode in which the state of the separating roller is set to the separation state and the original document is fed, and wherein the controller does not use the double-feeding detecting portion in the first feeding mode but uses the double-feeding detecting portion in the second feeding mode.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 1.97826
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12659152', '12610929', '15406106', '10449079', '14733629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5066404521411373
- 35 USC 102 Novelty (BERT): 0.4799300069631885
- Combined Prediction Score: 0.5039694076233424
- Mean Citation Score: 192.441646
- Max Citation Score: 199.82748
- Similarity Product: 154.1770231539345

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