PATENT CLAIM ANALYSIS

Application Number: 16137579
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["361", "301400"]

Abstract:
A manufacturing method for a multilayer capacitor includes alternately laminating dielectric layers and conductor layers including less than 50 included in a first arrangement and a second arrangement different from the first arrangement when viewed from a lamination direction to form a laminate in which at least one pair of the conductor layers adjacent to each other with the dielectric layer interposed therebetween are included in the first or second arrangement, pressing the laminate to stretch the conductor layers in a direction perpendicular or substantially perpendicular to the lamination direction, pressing the laminate to bend the conductor layers in the lamination direction, and forming first and second outer electrodes on laminate surfaces such that the first outer electrode is connected to the conductor layers included in the first arrangement and the second outer electrode is connected to the conductor layers included in the second arrangement.

Claim (Index 2):
The multilayer capacitor according to  claim 1 , wherein at least one of the two conductor layers positioned at both ends of the laminate in the lamination direction is adjacent to the ineffective dielectric layer.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 2.29231
- Patent Class: 361.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15802642', '15802648', '14943771', '15014164', '15728568']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.860508967446879
- 35 USC 102 Novelty (BERT): 0.5782837406641536
- Combined Prediction Score: 0.8322864447686065
- Mean Citation Score: 382.63301999999993
- Max Citation Score: 457.0873
- Similarity Product: 454.4544434821248

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