PATENT CLAIM ANALYSIS

Application Number: 16064520
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["508", "363000"]

Abstract:
To provide a lubricating oil composition for internal combustion engines, which can realize low friction in both internal combustion engines equipped with a DLC and internal combustion engines not equipped with a DLC. [Solution] a lubricating oil composition for internal combustion engines, which is characterized in that the lubricating oil composition for internal combustion engines is a composition obtained by blending a molybdenum dithiocarbamate (MoDTC) and a polyalkylene glycol (PAG) in a base oil, the weight average molecular weight of the polyalkylene glycol is 2750-4500 and the content of the polyalkylene glycol is not less than 0.05 mass % and less than 10 mass % relative to the total mass of the composition.

Claim (Index 1):
A lubricating oil composition for internal combustion engines, which is characterized in that the lubricating oil composition for internal combustion engines is a composition obtained by blending a molybdenum dithiocarbamate (MoDTC) and a polyalkylene glycol (PAG) in a base oil, the weight average molecular weight of the polyalkylene glycol is 2750-4500 and the content of the polyalkylene glycol is not less than 0.05 mass % and less than 10 mass % relative to the total mass of the composition.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.13793
- Patent Class: 508.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15183062', '14388119', '14376898', '12294457', '14398641']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8204666774816886
- 35 USC 102 Novelty (BERT): 0.5371776267337324
- Combined Prediction Score: 0.792137772406893
- Mean Citation Score: 187.200832
- Max Citation Score: 202.57512
- Similarity Product: 146.68691310753823

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