PATENT CLAIM ANALYSIS

Application Number: 16268820
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["359", "713000"]

Abstract:
A image capturing lens assembly includes six lens elements, the six lens elements being, in order from an object side to an image side: a first lens element with positive refractive power having an object-side surface being convex thereof; a second lens element having negative refractive power; a third lens element; a fourth lens element; a fifth lens element with positive refractive power having an object-side surface being convex and an image-side surface being convex thereof; and a sixth lens element having an image-side surface being concave in a paraxial region thereof, the image-side surface having at least one convex critical point in an off-axial region thereof, and an object-side surface and the image-side surface being aspheric.

Claim (Index 8):
The image capturing lens assembly of  claim 1 , wherein a sum of central thicknesses of the first lens element, the second lens element, the third lens element, the fourth lens element, the fifth lens element, and the sixth lens element is \u03a3CT, a sum of all axial distances between adjacent lens elements of the image capturing lens assembly is \u03a3AT, and the following condition is satisfied:\n 2.25<\u03a3 CT/\u03a3AT< 4.00.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 99.0
- Lexical Diversity: 2.5098
- Patent Class: 359.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15682654', '15677126', '16135167', '14671426', '16135280']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8595172381484796
- 35 USC 102 Novelty (BERT): 0.5840982640560195
- Combined Prediction Score: 0.8319753407392336
- Mean Citation Score: 473.15914
- Max Citation Score: 490.4841
- Similarity Product: 480.4840189499795

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

Dataset: test