PATENT CLAIM ANALYSIS

Application Number: 16119663
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["216", "051000"]

Abstract:
A method for making carrier for use in single molecule detection is related. The method includes following steps: firstly, placing a middle layer on a substrate; secondly, providing a carbon nanotube composite structure, wherein the carbon nanotube composite structure includes a carbon nanotube structure and a protective layer coated on the carbon nanotube structure, the carbon nanotube structure includes a plurality of carbon nanotubes intersected with each other and defines a plurality of openings; thirdly, placing the carbon nanotube composite structure on a surface of the middle layer, wherein parts of the surface are exposed through the plurality of openings; fourthly, forming the patterned bulge by dry etching the middle layer using the carbon nanotube composite structure as a mask, wherein the patterned bulge includes a plurality of strip-shaped bulges intersected with each other; depositing the metal layer on the patterned bulge.

Claim (Index 17):
The method of  claim 1 , wherein the applying the metal layer on the patterned bulge comprises depositing the metal layer on the carbon nanotube composite structure so the carbon nanotube composite structure is located between the metal layer and the patterned bulge.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 96.0
- Lexical Diversity: 2.34328
- Patent Class: 216.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16119607', '15633770', '15633775', '15633774', '15636581']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8193565833016212
- 35 USC 102 Novelty (BERT): 0.5263634530351858
- Combined Prediction Score: 0.7900572702749776
- Mean Citation Score: 340.9022980000001
- Max Citation Score: 363.77557
- Similarity Product: 311.79985043190965

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

Dataset: test