PATENT CLAIM ANALYSIS

Application Number: 15988873
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-02
Patent Classification: ["174", "260000"]

Abstract:
A multilayer capacitor includes: a capacitor body having a length and a width substantially equal to each other, including dielectric layers and a plurality of first and second internal electrodes, and having first to sixth surfaces; and first and second external electrodes disposed on third and fourth surfaces of the capacitor body and extending to cover a portion of fifth and sixth surfaces of the capacitor body, respectively; wherein the first internal electrode has a first lead portion exposed to a first corner of the capacitor body in which the third and fifth surfaces of the capacitor body meet each other and covered with the first external electrode, and the second internal electrode has a second lead portion exposed to a second corner of the capacitor body at which the fourth and sixth surfaces of the capacitor body meet each other and covered with the second external electrode.

Claim (Index 17):
A board having a multilayer capacitor, the board comprising:\n a circuit board on which first and second electrode pads are formed; and the multilayer capacitor of  claim 9 , mounted on the circuit board so that the first and second external electrodes are disposed on the first and second electrode pads, respectively.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 93.0
- Lexical Diversity: 2.9434
- Patent Class: 174.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15481157', '15832017', '14490482', '14282836', '15879134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8597793129756367
- 35 USC 102 Novelty (BERT): 0.5078434009685623
- Combined Prediction Score: 0.8245857217749293
- Mean Citation Score: 303.9541900000001
- Max Citation Score: 310.83432
- Similarity Product: 252.02467540532112

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