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 20):
The apparatus according to  claim 17 , wherein:\n the measure of quality of the estimate of the parameter for the at least one further substrate comprises a goodness of fit of corresponding regression analysis data for the at least one further substrate and, the corresponding regression analysis for the further substrate has been determined using radiation emitted and diffracted from the plurality of corresponding at least first features of the at least one further substrate at a number of wavelengths greater than the one or more wavelengths emitted by the optical system.

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): 0.7586894714960468
- 35 USC 102 Novelty (BERT): 0.5066141804542805
- Combined Prediction Score: 0.7334819423918701
- Mean Citation Score: 293.3714920000001
- Max Citation Score: 303.5264
- Similarity Product: 255.9727819717408

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