PATENT CLAIM ANALYSIS

Application Number: 16106322
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["356", "399000"]

Abstract:
An apparatus and method for estimating a parameter of a lithographic process and an apparatus and method for determining a relationship between a measure of quality of an estimate of a parameter of a lithographic process are provided. In the apparatus for estimating the parameter a processor is configured to determine a quality of the estimate of the parameter relating to the tested substrate based on a measure of feature asymmetry in the at least first features of the tested substrate and further based on a relationship determined for a plurality of corresponding at least first features of at least one further substrate representative of the tested substrate, the relationship being between a measure of quality of an estimate of the parameter relating to the at least one further substrate and a measure of feature asymmetry in the corresponding first features.

Claim (Index 21):
The apparatus according to  claim 17 , wherein the processor is further configured to disregard the estimate of the parameter on the tested substrate if a magnitude of the measure of feature asymmetry in the at least first features of the tested substrate exceeds a threshold value that is based on the relationship determined for the corresponding at least first features of at least one further substrate.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 96.0
- Lexical Diversity: 3.0
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14906896', '15912036', '15013340', '14948001', '16010320']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7582932770971957
- 35 USC 102 Novelty (BERT): 0.510486241149162
- Combined Prediction Score: 0.7335125735023924
- Mean Citation Score: 293.3714920000001
- Max Citation Score: 303.5264
- Similarity Product: 233.8446770309449

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

Dataset: test