PATENT CLAIM ANALYSIS

Application Number: 15766040
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["351", "159750"]

Abstract:
The invention relates to a method for determining an usage index value for an single-vision ophthalmic lens adapted to correct the vision of a myopic wearer. According to the invention the method comprises: an optical profile providing step S 1  during which an optical profile of said ophthalmic lens is determined; a material profile providing step S 2  during which a material profile of said ophthalmic lens is determined; a physical parameter determining step S 3  during which at least one physical parameter among physical parameters of said optical profile and material profile is determined; a gain assessing step S 4  during which at least two gains brought by at least one determined physical parameter is evaluated on at least one evaluation criterion of dissatisfaction of said wearer when wearing said ophthalmic lens; an usage index value determining step S 5  during which a value of an usage index is determined by adding the assessed gain for the evaluation criteria.

Claim (Index 8):
The single-vision ophthalmic lens of  claim 7 , wherein:\n the refractive index of said substrate is greater than or equal to 1.60; and said antireflection coating is such that a light reflecting on the lens with an incidence angle of 30\u00b0 has also a hue angle (h) comprised between 260\u00b0 and 325\u00b0; and said antireflection coating is such that a light reflecting on the lens with an incidence angle of 15\u00b0 has a chroma (C*) greater than or equal to 15.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 91.0
- Lexical Diversity: 2.49254
- Patent Class: 351.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15557665', '14902991', '15308871', '15539037', '15504481']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6140541942185878
- 35 USC 102 Novelty (BERT): 0.4912172836227041
- Combined Prediction Score: 0.6017705031589995
- Mean Citation Score: 238.71083600000003
- Max Citation Score: 257.41794
- Similarity Product: 200.2136959067738

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