PATENT CLAIM ANALYSIS

Application Number: 15926104
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["508", "459000"]

Abstract:
This disclosure relates to cold cranking simulator viscosity (“CCSV”) reducing base stocks that allow flexibility for low viscosity SAE engine oil grades (e.g., 5 W and 0 W) to meet demanding low temperature viscosity requirements while maintaining a higher base oil viscosity for improved wear protection. The CCSV-reducing base stocks include mono-esters derivable from a Guerbet alcohol and a monocarboxylic acid. The disclosure also relates to lubricating oil formulations containing the CCSV-reducing base stocks, and a method for determining the CCSV-reducing efficacy of a base stock.

Claim (Index 1):
A method for determining the reducing efficacy of a first base stock in reducing cold crank simulator viscosity at a given temperature as determined pursuant to ASTM D5293 (\u201cCCSV\u201d) of a lubricating oil formulation comprising the first base stock and a reference oil, the method comprising:\n determining the kinematic viscosity at 100\u00b0 C. pursuant to ASTM D2245 (\u201cKV100\u201d) of the reference oil; to determining the CCSV of the reference oil; determining the KV100 of a mixture oil consisting of the first base stock and the reference oil at a first concentration of the first base stock based on the total quantity of the mixture oil; determining the CCSV of the mixture oil; and determining the first base stock as not a CCSV-boosting base stock if the CCSV of the mixture oil is smaller than the CCSV of the reference oil.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 90.0
- Lexical Diversity: 1.53968
- Patent Class: 508.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11810019', '12583317', '15384421', '12893434', '12914612']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8384184531572927
- 35 USC 102 Novelty (BERT): 0.5616461819521159
- Combined Prediction Score: 0.810741226036775
- Mean Citation Score: 266.31187
- Max Citation Score: 285.9631
- Similarity Product: 184.7006036706567

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

Dataset: test