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 2):
The method of  claim 1 , further comprising:\n recording the KV100 and CCSV of the reference oil as KV100(ref) and CCSV(ref), respectively; recording the KV100 and CCSV of the mixture oil as KV100(oil) and CCSV(oil), respectively; determining the following values D(kv) and D(ccsv): D \ue8a0 ( kv ) = KV \ue89e \ue89e 100 \ue89e ( oil ) - KV \ue89e \ue89e 100 \ue89e \ue89e ( ref ) KV \ue89e \ue89e 100 \ue89e ( ref ) \u00d7 100 ; and D \ue8a0 ( ccsv ) = CCSV \ue89e \ue89e ( oil ) - CCSV \ue89e \ue89e ( ref ) CCSV \ue8a0 ( ref ) \u00d7 100 ; and\n determining the reducing efficacy of the first base stock based on D(kv) and D(ccsv).

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): 0.8381328774980866
- 35 USC 102 Novelty (BERT): 0.5645678701239295
- Combined Prediction Score: 0.8107763767606709
- Mean Citation Score: 266.31187
- Max Citation Score: 285.9631
- Similarity Product: 171.98567900381087

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