PATENT CLAIM ANALYSIS

Application Number: 15978747
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["250", "307000"]

Abstract:
An evaluation method according to an embodiment is to evaluate a precision of an aperture formed with multiple openings, and includes steps of forming a first evaluation pattern based on evaluation data using multiple electron beams generated by electron beam that has passed through the aperture, dividing the aperture into multiple regions, each of the regions including the multiple openings and defining the multiple divided regions, forming a second evaluation pattern based on evaluation data using the electron beam that has passed through a first divided region among the multiple divided regions, comparing the first evaluation pattern with the second evaluation pattern, and evaluating the precision of the aperture based on the comparison result between the first evaluation pattern and the second evaluation pattern.

Claim (Index 5):
The evaluation method according to  claim 1 , wherein in evaluating the precision of the aperture, the precision of the aperture is evaluated based on a deviation between a size of a marking in the first evaluation pattern and a size of a marking in the second evaluation pattern corresponding to the marking in the first evaluation pattern.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 93.0
- Lexical Diversity: 2.42593
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15361276', '14349390', '14607630', '10918381', '13798669']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7266398511797181
- 35 USC 102 Novelty (BERT): 0.5412497641452939
- Combined Prediction Score: 0.7081008424762757
- Mean Citation Score: 201.83360800000003
- Max Citation Score: 391.44785
- Similarity Product: 285.97618980439006

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test