PATENT CLAIM ANALYSIS

Application Number: 15764303
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["349", "042000"]

Abstract:
The embodiments of the disclosure relate to the field of display technology and provide a counter substrate, a liquid crystal display panel and a method for eliminating bright spots, which can avoid bright spots caused by foreign bodies and reduce cost. The counter substrate includes a substrate, a black matrix and an orientation layer disposed on the substrate, and a wall. The black matrix at least includes a plurality of first light shielding strips. An orthographic projection of the wall on the substrate is covered by an orthographic projection of the plurality of first light shielding strips on the substrate. The wall extends along a first direction that intersects an orientation direction of the orientation layer.

Claim (Index 11):
The liquid crystal display panel according to  claim 10 , wherein the liquid crystal display panel comprises thin film transistors;\n wherein the black matrix on the counter substrate comprises a plurality of third light shielding strips, and an orthographic projection of the third light shielding strips on the substrate of the counter substrate covers an orthographic projection of the thin film transistors on the substrate.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.08333
- Patent Class: 349.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15525930', '14408669', '14786553', '14443583', '15325555']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8550054431816088
- 35 USC 102 Novelty (BERT): 0.5006604967560664
- Combined Prediction Score: 0.8195709485390545
- Mean Citation Score: 229.21614800000003
- Max Citation Score: 263.04007
- Similarity Product: 199.6111184889937

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