PATENT CLAIM ANALYSIS

Application Number: 15773909
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["362", "543000"]

Abstract:
Embodiments of the present invention relate to a light emitting package having excellent light extraction efficiency and thermal stability, the light emitting package comprising: a light emitting unit; a photo-conversion substrate arranged on one surface of the light emitting unit; and an adhesive member arranged between the light emitting unit and the photo-conversion substrate, and comprising inorganic nanoparticles dispersed in a silicone-based resin.

Claim (Index 14):
A vehicle lighting device comprising:\n a light-emitting package comprising a light-emitting unit, a photo-conversion substrate disposed on one surface of the light-emitting unit, and an adhesive member disposed between the light-emitting unit and the photo-conversion substrate, the adhesive member comprising inorganic nanoparticles dispersed in a silicone-based resin; and a reflector configured to reflect converted light emitted by the light-emitting package; wherein a refractive index of the adhesive member is higher than a refractive index of the photo-conversion substrate, and a difference in refractive index between the adhesive member and the photo-conversion substrate is 0.8 or less.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 93.0
- Lexical Diversity: 1.725
- Patent Class: 362.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15746721', '14885478', '14985784', '14621924', '15098123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8471259510481955
- 35 USC 102 Novelty (BERT): 0.480455501663223
- Combined Prediction Score: 0.8104589061096983
- Mean Citation Score: 190.03618200000005
- Max Citation Score: 215.70702000000003
- Similarity Product: 157.71481152201892

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