PATENT CLAIM ANALYSIS

Application Number: 16522399
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["382", "156000"]

Abstract:
A method of classifying substrates with a metrology tool is herein disclosed. The method begins by training a deep learning framework using convolutional neural networks with a training dataset for classifying image dataset. Obtaining a new image from the meteorology tool. Running the new image through the deep learning framework to classify the new image.

Claim (Index 7):
The method of  claim 6  wherein the attribute of the new image feature comprises one of a defect and a substrate structure.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.63889
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15635367', '14521345', '15402169', '15236334', '14942738']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3343981322481365
- 35 USC 102 Novelty (BERT): 0.5217934965613061
- Combined Prediction Score: 0.3531376686794535
- Mean Citation Score: 179.11386799999997
- Max Citation Score: 306.73
- Similarity Product: 195.18121098876

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